Text Mining Software

9 September 2011



text mining software

What’s the Best SMS Text Messaging Software Out There?

For businesses that are in a pinch or just starting out and would want to improve their standing by going all out with a marketing or advertising campaign, more often than not their number one consideration would be the cost. Being able to compete with multinational companies and conglomerates would be akin to David facing off against Goliath and then getting squashed by the Philistine’s giant. What with the millions upon millions of dollars multinational companies and conglomerates shell out for their marketing campaigns, small and medium businesses and enterprises would have a hard time competing. However with bulk text messaging and other advances in technology small and medium enterprises now have a slingshot to beat the crap out of a giant. And with the best SMS text messaging software, they would now have the rock to topple down the giants of the world market. So will David be going for the pebbles, the rocks, or probably some marbles?

There aren’t very many considerations for choosing the best SMS text messaging software. The reason for that is their functions are actually more or less the same. The important thing being that you can send bulk SMS text messages to a large number of recipients, since the number one consideration in an effective marketing or advertising campaign is visibility. For a business, it is ideal to put out word about the product or service being offered to as many people as possible. Therefore one thing that must be kept in mind when buying or trying out a short message service text messaging software is for what other purposes, aside from sending the standard bulk SMS text messages, would the text messaging software be used for? There are SMS text messaging software that are designed for one purpose alone and that is to spam or send bulk SMS text messages for whatever purpose the user may think of, and there are also other SMS text messaging software that have added features like, voice calling, bulk MMS messaging and a slew of other additional features on top of the basic bulk SMS text messaging function.

Ultimately there is really no such thing as the best SMS text messaging software in the market. Features-wise there are clearly products that are at the top of the line and on a whole new league of their own when it comes to SMS text messaging software or programs. However for a business or enterprise that only needs to use just the bulk SMS text messaging feature, the product’s other features would be terribly wasted. The best SMS text messaging software is the one that will cater to the needs of the marketing or advertising campaign all the while providing a low – cost, low – maintenance option to market the enterprises products and, or services. And with the cost of these SMS text messaging software being really economical, it has been and will be, and continue to be one of the best alternatives to conventional forms of advertising or marketing strategies being used at present. So all that’s needed is a good aim and the probability of David giving Goliath a beat down are very high, that is provided as long as David has a great aim.

About the Author

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Assistente de Mineração de Textos – Software Text Mining Suite


Text Mining


Text Mining


$66.45


This book is in New – Excellent condition

Text Twist 2


Text Twist 2


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How good is YOUR vocabulary? Show off your knowledge by making words out of jumbled letters! Play Text Twist 2 today! Text Twist 2 has three new Game Play Modes. Try original mode, or play the Crossword, Lightning, or Word of the Day modes! Text Twist 2 has all new Graphics and Sound along with a dictionary of more than 25,000 words. It also includes the original hit word game, Super Text Twist, as an inside-the-box game bonus!

Modern Data Warehousing, Mining, and Visualization: Core Concepts


Modern Data Warehousing, Mining, and Visualization: Core Concepts


$32


For undergraduate/graduate-level Data Mining or Data Warehousing courses in Information Systems or Operations Management Departments electives.Taking a multidisciplinary user/manager approach, this text looks at data warehousing technologies necessary to support the business processes of the twenty-first century. Using a balanced professional and conversational approach, it explores the basic concepts of data mining, warehousing, and visualization—with an emphasis on both technical and managerial issues and the implication of these modern emerging technologies on those issues. Data mining and visualization exercises—using an included fully-enabled, but time-limited version of Megaputer’s PolyAnalyst and TextAnalyst data mining and visualization software—give students hands-on experience with real-world applications.

Data Mining and Statistics for Decision Making


Data Mining and Statistics for Decision Making


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Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization’s need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations.  Key Features: Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques. Starts from basic principles up to advanced concepts. Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software. Gives practical tips for data mining implementation to solve real world problems. Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring. Supported by an accompanying website hosting datasets and user analysis.  Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.

Text Mining: Applications and Theory


Text Mining: Applications and Theory


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No Synopsis Available

Survey of Text Mining


Survey of Text Mining


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Text Mining for Biology And Biomedicine


Text Mining for Biology And Biomedicine


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The Text Mining Handbook


The Text Mining Handbook


$66.5


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Text Mining and Its Applications


Text Mining and Its Applications


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Text Mining Application Programming


Text Mining Application Programming


$33.6


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Text Mining : Classification, Clustering, and Applications


Text Mining : Classification, Clustering, and Applications


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Natural Language Processing And Text Mining


Natural Language Processing And Text Mining


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Practical Applications of Data Mining


Practical Applications of Data Mining


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Practical Applications of Data Mining emphasizes both theory and applications of data mining algorithms. Various topics of data mining techniques are identified and described throughout, including clustering, association rules, rough set theory, probability theory, neural networks, classification, and fuzzy logic. Each of these techniques is explored with a theoretical introduction and its effectiveness is demonstrated with various chapter examples. This book will help any database and IT professional understand how to apply data mining techniques to real-world problems. Following an introduction to data mining principles, Practical Applications of Data Mining introduces association rules to describe the generation of rules as the first step in data mining. It covers classification and clustering methods to show how data can be classified to retrieve information from data. Statistical functions and drough set theory are discussed to demonstrate how statistical and rough set formulas can be used for data analytics and knowlege discovery. Neural networks is an important branch in computational intelligence. It is introduced and explored in the text to investigate the role of neural network algorithms in data analytics.

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Printmaster Platinum 18.1


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The Print Shop 3.0 Professional


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The Print Shop 23.1 Pro Publisher Deluxe


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Unified Software Engineering with Java™


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Shark FX v7


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Data Mining: Concepts and Techniques, 3rd Edition


Data Mining: Concepts and Techniques, 3rd Edition


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The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it’s still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today’s most powerful data mining techniques to meet real business challenges. * Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Essentials of Software Engineering


Essentials of Software Engineering


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Essentials of Software Engineering, Second Edition is a comprehensive, yet concise introduction to the core fundamental topics and methodologies of software development. Ideal for new students or seasoned professionals looking for a new career in the area of software engineering, this text presents the complete life cycle of a software system, from inception to release and through support. The authors have broken the text into six distinct sections covering programming concepts, system analysis and design, principles of software engineering, development and support processes, methodologies, and product management. Presenting topics emphasized by the IEEE Computer Society sponsored Software Engineering Body of Knowledge (SWEBOK) and by the Software Engineering 2004 Curriculum Guidelines for Undergraduate Degree Programs in Software Engineering, the second edition of Essentials of Software Engineering is an exceptional text for those entering the exciting world of software development. New topics of the Second Edition include: Process definition and communications added in Chapter 4 Requirements traceability added in Chapter 6 Further design concerns, such as impedance mismatch in Chapter 7 Law of Demeter in Chapter 8 Measuring project properties and GQM in Chapter 13 Security and software engineering in a new Chapter 14

Software Engineering, Ninth Edition


Software Engineering, Ninth Edition


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Intended for a sophomore/junior level course in software engineering. Software Engineering presents a broad perspective on software systems engineering, concentrating on widely used techniques for developing large-scale systems. Building on the widely acclaimed strengths of the 8th edition, the 9th edition updates readers with the latest developments in the field while remaining THE most current Software Engineering text in the market with quality trusted coverage, practical case studies, strong lecturer support. This text is structured into 6 parts: 1: Introduction; 2: Requirements Engineering; 3: Design; 4: Software Development; 5: Verification and Validation; 6: Management

Object-Oriented Software Engineering


Object-Oriented Software Engineering


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Object-Oriented Software Engineering is written for both the traditional one-semester and the newer two-semester software engineering curriculum. Part I covers the underlying software engineering theory, while Part II presents the more practical life cycle, workflow by workflow.The text is intended for the substantial object-oriented segment of the software engineering market. It focuses exclusively on object-oriented approaches to the development of large software systems that are the most widely used. Text includes 2 running case studies, expanded coverage of agile processes and open-source development.

Software Architecture: Foundations, Theory, and Practice


Software Architecture: Foundations, Theory, and Practice


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Software architecture is foundational to the development of large, practical software-intensive applications. This brand-new text covers all facets of software architecture and how it serves as the intellectual centerpiece of software development and evolution. Critically, this text focuses on supporting creation of real implemented systems. Hence the text details not only modeling techniques, but design, implementation, deployment, and system adaptation — as well as a host of other topics — putting the elements in context and comparing and contrasting them with one another. Rather than focusing on one method, notation, tool, or process, this new text/reference widely surveys software architecture techniques, enabling the instructor and practitioner to choose the right tool for the job at hand. Software Architecture is intended for upper-division undergraduate and graduate courses in software architecture, software design, component-based software engineering, and distributed systems; the text may also be used in introductory as well as advanced software engineering courses.

Text Mining and its Applications to Intelligence, CRM and Knowledge Management


Text Mining and its Applications to Intelligence, CRM and Knowledge Management


$76


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Text Mining And Its Applications To Intelligence, Crm And Knowledge Management


Text Mining And Its Applications To Intelligence, Crm And Knowledge Management


$218.5


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Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition


Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition


$45.47


Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. *Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects *Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods *Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks-in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

Software Architecture and Design Illuminated


Software Architecture and Design Illuminated


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The SE 2004 of the ACM/IEEE computing curriculum project recommends software design and architecture as one of its ten essential areas of study. Software Architecture and Design Illuminated is the ideal text for undergraduate and graduate students delving into this critical area of the software development process. This text offers a coherent and integrated approach to the discipline of software architectural design and covers a complete set of important methodologies, architectural styles, design guidelines, and design tools. Java is used throughout the book to explain design principles and present case studies. Review questions, exercises, and design assignments round out most chapters and allow students to test themselves on key material.

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 Advances in Informatics: 10th Panhellenic Conference on Informatics, PCI 2005, Volos Greece, November 11-13, 2005 Proceedings


Advances in Informatics: 10th Panhellenic Conference on Informatics, PCI 2005, Volos Greece, November 11-13, 2005 Proceedings


$119.4


This book constitutes the refereed proceedings of the 10th Panhellenic Conference on Informatics, PCI 2005, held in Volas, Greece, in November 2005.The 83 revised full papers presented were carefully reviewed and selected from 252 submissions. The papers are organized in topical sections on data bases and data mining, algorithms and theoretical foundations, cultural and museum information systems, internet-scale software/information systems, wearable and mobile computing, computer graphics, virtual reality and visualization, AI, machine learning and knowledge bases, languages, text and speech processing, bioinformatics, software engineering, educational technologies, e-business, computer and sensor hardware and architecture, computer security, image and video processing, signal processing and telecommunications, computer and sensor networks.

 Applied Data Mining for Business and Industry


Applied Data Mining for Business and Industry


$160


The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications.Introduces data mining methods and applications.Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods.Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining.Features detailed case studies based on applied projects within industry.Incorporates discussion of data mining software, with case studies analysed using R.Is accessible to anyone with a basic knowledge of statistics or data analysis.Includes an extensive bibliography and pointers to further reading within the text.Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics and finance.

 Applied Data Mining for Business and Industry


Applied Data Mining for Business and Industry


$75


The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications.Introduces data mining methods and applications.Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods.Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining.Features detailed case studies based on applied projects within industry.Incorporates discussion of data mining software, with case studies analysed using R.Is accessible to anyone with a basic knowledge of statistics or data analysis.Includes an extensive bibliography and pointers to further reading within the text.Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics and finance.

 Applied Data Mining: Statistical Methods for Business and Industry


Applied Data Mining: Statistical Methods for Business and Industry


$73.02


The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. Applied Data Mining: Statistical Methods for Business and Industry provides an accessible introduction to data mining methods in a consistent and application-oriented statistical framework. It describes six case studies, taken from real industry projects, highlighting the current applications of data mining methods. Provides an introduction to data mining methods and applications. Includes coverage of classical and Bayesian multivariate statistical methodology as well as of machine learning and computational data mining methods. Includes many recent developments, such as association and sequence rules, graphical Markov models, memory-based reasoning, credit risk and web mining. Features a number of detailed case studies based on applied projects within industry. Incorporates discussion of data mining software, and the case studies are analysed using SAS and SAS Enterprise Miner. Accessible to anyone with a basic knowledge of statistics or data analysis. Includes an extensive bibliography and pointers to further reading within the text. Applied Data Mining: Statistical Methods for Business and Industry is primarily aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies give guidance to professionals working in industry on projects involving large volumes of data, such as in customerrelationship management, web design, risk management, marketing, economics and finance.

 Complex Intelligent Systems and Their Applications


Complex Intelligent Systems and Their Applications


$149


“Complex Intelligent Systems and Their Applications” presents the most up-to-date advances in complex, software intensive and intelligent systems. Each self-contained chapter is the contribution of distinguished experts in areas of research relevant to the study of complex, intelligent and software intensive systems. These contributions focus on the resolution of complex problems from areas of networking, optimization and artificial intelligence.This book is divided into three parts focusing on complex intelligent network systems, efficient resource management in complex systems, and artificial data mining systems. Through the presentation of these diverse areas of application, the volume provides insights into the multidisciplinary nature of complex problems. Throughout the entire book, special emphasis is placed on optimization and efficiency in resource management, network interaction, and intelligent system design.Key Features of “Complex Intelligent Systems and Their Applications” include:- Considers the multi-disciplinary nature of complex problems in intelligent systems and a range of state-of-the-art techniques used to resolve these problems.- Graduate students as well as researchers will find this a useful guide to the most up-to-date techniques available to resolve complex problems in networking, optimization, and artificial intelligence.- Real life examples presented throughout the book extend the text’s suitability to practitioners.This book presents the most recent interdisciplinary results in this area of research and can serve as a valuable tool for researchers interested in defining and resolving the types of complex problems that arise in networking, optimization, and artificial intelligence.

 Data Analysis


Data Analysis


$20.96


Purchase includes free access to book updates online and a free trial membership in the publisher’s book club where you can select from more than a million books without charge. Chapters: Standard Deviation, Variance, Data Mining, Statistical Assumption, Principal Component Analysis, Outlier, Timeline, Business Intelligence, Convex Hull, Experimental Uncertainty Analysis, Cluster Analysis, German Tank Problem, Window Function, Bootstrapping, Algorithmic Inference, Exponential Mechanism, Cumulative Frequency Analysis, Data Transformation, Independent Component Analysis, Covariance Matrix, Network Intelligence, Text Analytics, Data Visualization, Bootstrapping Populations, Mark and Recapture, Forecasting, Photoanalysis, Item Tree Analysis, Clustering High-Dimensional Data, Brainware, Probit, Power Transform, Boolean Analysis, Segmented Regression, K-Medoids, Standard Score, 1.96, Contingency Table, Exponential Smoothing, Exploratory Data Analysis, Missing Values, Tinkerplots, Neighbourhood Components Analysis, Index of Dispersion, Anova-Simultaneous Component Analysis, Post-Hoc Analysis, Explained Variation, Kirix Strata, Correlation Clustering, Overdispersion, 68-95-99.7 Rule, Local Convex Hull, Multitrait-Multimethod Matrix, Counternull, Evolutionary Data Mining, Political Forecasting, Visual Inspection, Topological Data Analysis, Visual Comparison, Empirical Distribution Function, Imputation, Inverse Mills Ratio, Silhouette, Multiple Correspondence Analysis, Health Care Analytics, Cluster-Weighted Modeling, Shape of the Distribution, Functional Data Analysis, Limited Dependent Variable, Anscombe Transform, Test Set, Barnard’s Test, Variance-Stabilizing Transformation, Training Set, Wide and Narrow Data, Structured Data Analysis, Lisrel, Normal Score, Data Discovery and Query Builder, Non-Linear Iterative Partial Least Squares, Proxy, Data Reduction, Double Mass Analysis, Report Mining, Fathom: Dynamic Data Software, Geomet… More:

 Data Mining and Statistics for Decision Making


Data Mining and Statistics for Decision Making


$99.95


Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization’s need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives.This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features:Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques.Starts from basic principles up to advanced concepts.Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software.Gives practical tips for data mining implementation to solve real world problems.Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring.Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.

 Data Mining and Statistics for Decision Making


Data Mining and Statistics for Decision Making


$99.95


Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization’s need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives.This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features:Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques.Starts from basic principles up to advanced concepts.Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software.Gives practical tips for data mining implementation to solve real world problems.Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring.Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.

 Data Warehousing : Concepts, Techniques, Products and Applications


Data Warehousing : Concepts, Techniques, Products and Applications


$57.95


New – The author discusses, in an easy-to-understand language, important topics such as data mining, how to build a data warehouse, and potential applications of data warehousing technology in government. Besides, the text compares and contrasts the currently available software tools used to design and develop data warehouses. While retaining the six existing case studies, it gives four new case studies: HARBOR, A Highly Available Data Warehouse, A Typical Business Data Warehouse for a Trading C

 Data Warehousing : Concepts, Techniques, Products and Applications


Data Warehousing : Concepts, Techniques, Products and Applications


$40.62


New – The author discusses, in an easy-to-understand language, important topics such as data mining, how to build a data warehouse, and potential applications of data warehousing technology in government. Besides, the text compares and contrasts the currently available software tools used to design and develop data warehouses. While retaining the six existing case studies, it gives four new case studies: HARBOR, A Highly Available Data Warehouse, A Typical Business Data Warehouse for a Trading C

 Data Warehousing : Concepts, Techniques, Products and Applications


Data Warehousing : Concepts, Techniques, Products and Applications


$19.37


Used – The author discusses, in an easy-to-understand language, important topics such as data mining, how to build a data warehouse, and potential applications of data warehousing technology in government. Besides, the text compares and contrasts the currently available software tools used to design and develop data warehouses. While retaining the six existing case studies, it gives four new case studies: HARBOR, A Highly Available Data Warehouse, A Typical Business Data Warehouse for a Trading

 Data Warehousing : Concepts, Techniques, Products and Applications


Data Warehousing : Concepts, Techniques, Products and Applications


$23.53


Used – The author discusses, in an easy-to-understand language, important topics such as data mining, how to build a data warehouse, and potential applications of data warehousing technology in government. Besides, the text compares and contrasts the currently available software tools used to design and develop data warehouses. While retaining the six existing case studies, it gives four new case studies: HARBOR, A Highly Available Data Warehouse, A Typical Business Data Warehouse for a Trading

 Data Warehousing : Concepts, Techniques, Products and Applications


Data Warehousing : Concepts, Techniques, Products and Applications


$19.09


Used – The author discusses, in an easy-to-understand language, important topics such as data mining, how to build a data warehouse, and potential applications of data warehousing technology in government. Besides, the text compares and contrasts the currently available software tools used to design and develop data warehouses. While retaining the six existing case studies, it gives four new case studies: HARBOR, A Highly Available Data Warehouse, A Typical Business Data Warehouse for a Trading

 Data Warehousing : Concepts, Techniques, Products and Applications


Data Warehousing : Concepts, Techniques, Products and Applications


$23.53


Used – The author discusses, in an easy-to-understand language, important topics such as data mining, how to build a data warehouse, and potential applications of data warehousing technology in government. Besides, the text compares and contrasts the currently available software tools used to design and develop data warehouses. While retaining the six existing case studies, it gives four new case studies: HARBOR, A Highly Available Data Warehouse, A Typical Business Data Warehouse for a Trading

 Decision Support Systems


Decision Support Systems


$21.67


Used – For a Decision Support System course offered in business schools. Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.

 Decision Support Systems


Decision Support Systems


$0.99


Used – For a Decision Support System course offered in business schools. Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.

 Decision Support Systems


Decision Support Systems


$25.47


New – For a Decision Support System course offered in business schools. Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.

 Decision Support Systems


Decision Support Systems


$66.73


New – For a Decision Support System course offered in business schools. Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.

 Decision Support Systems


Decision Support Systems


$16.43


New – For a Decision Support System course offered in business schools. Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.

 Decision Support Systems


Decision Support Systems


$17.88


Used – For a Decision Support System course offered in business schools. Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.

 Decision Support Systems


Decision Support Systems


$100


New – For a Decision Support System course offered in business schools. Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.

 Decision Support Systems: AND Megaputer


Decision Support Systems: AND Megaputer


$38.82


New – For a Decision Support System course offered in business schools. Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.

 Decision Support Systems: AND Megaputer


Decision Support Systems: AND Megaputer


$38.63


Used – For a Decision Support System course offered in business schools. Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.

 Decision Support Systems: AND Megaputer


Decision Support Systems: AND Megaputer


$54.95


New – For a Decision Support System course offered in business schools. Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.

 Decision Support Systems: AND Megaputer


Decision Support Systems: AND Megaputer


$54.95


Used – For a Decision Support System course offered in business schools. Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.

 E-mail: Emoticon, Simple Mail Transfer Protocol, MIME, Email client, Message transfer agent, Electronic mailing list, Open mail relay


E-mail: Emoticon, Simple Mail Transfer Protocol, MIME, Email client, Message transfer agent, Electronic mailing list, Open mail relay


$24.02


Purchase includes free access to book updates online and a free trial membership in the publisher’s book club where you can select from more than a million books without charge. Chapters: Emoticon, Simple Mail Transfer Protocol, Mime, Email Client, Message Transfer Agent, Electronic Mailing List, Open Mail Relay, List of Mail Servers, Chain Letter, Mx Record, Acceptable Use Policy, X.400, Wingate, Carbon Copy, E-Mail Spam, Posting Style, List of Collaborative Software, Comparison of Mail Servers, Base64, Feedback Loop, E-Mail Address, Email Forwarding, Apple Open Collaboration Environment, Bounce Message, Virus Hoax, E-Mail Marketing, Uuencoding, Barracuda Networks, Html E-Mail, Web Bug, E-Card, Disposable E-Mail Address, E-Mail Privacy, E-Mail Spam Legislation by Country, Variable Envelope Return Path, Electronic Discovery, Blind Carbon Copy, E-Mail Archiving, Quechup, Address Munging, Electronic Message Journaling, Directive on Privacy and Electronic Communications, E-Mail Tracking, Jatheon Technologies, Yesmail, International E-Mail, Secure Messaging, Transport Neutral Encapsulation Format, Joe Job, Spam and Open Relay Blocking System, Distributed Sender Blackhole List, Aeronautical Message Handling System, Direct Internet Message Encapsulation, Bounce Address, Memorandum, Volapuk Encoding, Mailman, Yenc, Messaging Application Programming Interface, List Mining, Wireless E-Mail, Opt in E-Mail, E-Mail Spoofing, Sieve, Video Mail, Qwk, Return Receipt, E-Mail Letter, E-Mail Bomb, Quoted-Printable, E-Mail Marketing Software, Lumber Cartel, Certified E-Mail, Funambol, Gnumail, E-Mail Filtering, E-Mail Alias, Hypermail, E-Mail Attachment, Spambayes, E-Mail Service Provider, E.123, Unicode and E-Mail, Directory Harvest Attack, E-Mail Storm, Covide, Claire Swire E-Mail, Universal Village Collaboration Suite, Email Sender and Provider Coalition, E-Mail Art, Enriched Text, Gpg4win, Postmaster, Internet Mail 2000, Mimecast, Offline Rea… More:

 Exploratory Image Databases


Exploratory Image Databases


$76.7


The explosion of computer use and internet communication has placed new emphasis on the ability to store, retrieve and search for all types of images, both still photo and video images. The success and the future of visual information retrieval depends on the cutting edge research and applications explored in this book. It combines the expertise from both computer vision and database research. Unlike text retrieval and text/numeric databases the challenges of image databases are enormous. How do you use data mining to search for an image if you do not have key words to search? Exploratory Image Databases introduces the idea that it is possible to solve this problem by merging database systems into a single search and browse activity called exploration. Exploratory Image Databases is one of the first single-author books that unifies the critical emerging topic of image databases. A new approach to image databases, the work is divided into four central parts: introduction to the problems that image database research must solve; computer vision and information retrieval techniques; image database issues; and interface and engines for visual searches. Example: Imagine the difficulty of building and using a database for face recognition, where an image of a face is used. In order to effectively use the image a huge number of characteristics would need to be entered in the database. The goal of future image databases is to use hardware and software to recognize and categorize images without typing in characteristics. * Comprehensive coverage of the image analysis as well as the database/theoretical aspects of image databases. * Extensive coverage of interfaces andinteraction models, with a theoretical framework for the development of new interaction schemes. * Identifies three interaction models between users and image databases, two of which have no counterpart in traditional databases. * Coverage of the relation between image and text

 Finite-State Methods and Natural Language Processing : Post-Proceedings of the 7th International Workshop FSMNLP 2008


Finite-State Methods and Natural Language Processing : Post-Proceedings of the 7th International Workshop FSMNLP 2008


$142.15


These proceedings contain the final versions of the papers presented at the 7th International Workshop on Finite-State Methods and Natural Language Processing (FSMNLP), held in Ispra, Italy, on September 11-12, 2008. The aim of the FSMNLP workshops is to bring together members of the research and industrial community working on finite-state based models in language technology, computational linguistics, web mining, linguistics and cognitive science on one hand, and on related theory and methods in fields such as computer science and mathematics on the other. Thus, the workshop series is a forum for researchers and practitioners working on applications as well as theoretical and implementation aspects. The special theme of FSMNLP 2008 was high performance finite-state devices in large-scale natural language text processing systems and applications. The papers in this publication cover a range of interesting NLP applications, including machine learning and translation, logic, computational phonology, morphology and semantics, data mining, information extraction and disambiguation, as well as programming, optimization and compression of finite-state networks. The applied methods include weighted algorithms, kernels and tree automata. In addition, relevant aspects of software engineering, standardization and European funding programs are discussed.

 Formal Concept Analysis


Formal Concept Analysis


$154.84


Formal concept analysis has been developed as a field of applied mathematics based on the mathematization of concept and concept hierarchy. It thereby allows us to mathematically represent, analyze, and construct conceptual structures. The formal concept analysis approach has been proven successful in a wide range of application fields.This book constitutes a comprehensive and systematic presentation of the state of the art of formal concept analysis and its applications. The first part of the book is devoted to foundational and methodological topics. The contributions in the second part demonstrate how formal concept analysis is successfully used outside of mathematics, in linguistics, text retrieval, association rule mining, data analysis, and economics. The third part presents applications in software engineering.

 Formal Concept Analysis: Foundations and Applications


Formal Concept Analysis: Foundations and Applications


$109


Formal concept analysis has been developed as a field of applied mathematics based on the mathematization of concept and concept hierarchy. It thereby allows us to mathematically represent, analyze, and construct conceptual structures. The formal concept analysis approach has been proven successful in a wide range of application fields. This book constitutes a comprehensive and systematic presentation of the state of the art of formal concept analysis and its applications. The first part of the book is devoted to foundational and methodological topics. The contributions in the second part demonstrate how formal concept analysis is successfully used outside of mathematics, in linguistics, text retrieval, association rule mining, data analysis, and economics. The third part presents applications in software engineering.

 Fundamentals of Predictive Text Mining


Fundamentals of Predictive Text Mining


$69.95


One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining – the process of analyzing unstructured natural-language text – is concerned with how to extract information from these documents.Developed from the authors’ highly successful Springer reference on text mining, Fundamentals of Predictive Text Mining is an introductory textbook and guide to this rapidly evolving field. Integrating topics spanning the varied disciplines of data mining, machine learning, databases, and computational linguistics, this uniquely useful book also provides practical advice for text mining. In-depth discussions are presented on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Background on data mining is beneficial, but not essential. Where advanced concepts are discussed that require mathematical maturity for a proper understanding, intuitive explanations are also provided for less advanced readers.Topics and features: Presents a comprehensive, practical and easy-to-read introduction to text mining Includes chapter summaries, useful historical and bibliographic remarks, and classroom-tested exercises for each chapter Explores the application and utility of each method, as well as the optimum techniques for specific scenarios Provides several descriptive case studies that take readers from problem description to systems deployment in the real world Includes access to industrial-strength text-mining software that runs on any computer. Describes methods that rely on basic statistical techniques, thus allowing for relevance to all languages (not just English) Contains links to free downloadable software and other supplementary instruction

 Handbook of Statistical Analysis and Data Mining Applications


Handbook of Statistical Analysis and Data Mining Applications


$92.95


The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries – from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions.Written “By Practitioners for Practitioners” Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models using Statistica, SAS and SPSS softwarePractical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: “Complete Data Miner – QC-Miner – Text Miner” bound with book

 Handbook of Statistical Analysis and Data Mining Applications


Handbook of Statistical Analysis and Data Mining Applications


$92.95


The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries – from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions.Written “By Practitioners for Practitioners” Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models using Statistica, SAS and SPSS softwarePractical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: “Complete Data Miner – QC-Miner – Text Miner” bound with book

 Information Extraction: Algorithms and Prospects in a Retrieval Context


Information Extraction: Algorithms and Prospects in a Retrieval Context


$169


Information extraction regards the processes of structuring and combining content that is explicitly stated or implied in one or multiple unstructured information sources. It involves a semantic classification and linking of certain pieces of information and is considered as a light form of content understanding by the machine. Currently, there is a considerable interest in integrating the results of information extraction in retrieval systems, because of the growing demand for search engines that return precise answers to flexible information queries. Advanced retrieval models satisfy that need and they rely on tools that automatically build a probabilistic model of the content of a (multi-media) document. The book focuses on content recognition in text. It elaborates on the past and current most successful algorithms and their application in a variety of domains (e.g., news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text). An important part discusses current statistical and machine learning algorithms for information detection and classification and integrates their results in probabilistic retrieval models. The book also reveals a number of ideas towards an advanced understanding and synthesis of textual content.The book is aimed at researchers and software developers interested in information extraction and retrieval, but the many illustrations and real world examples make it also suitable as a handbook for students.

 Information Extraction: Algorithms and Prospects in a Retrieval Context


Information Extraction: Algorithms and Prospects in a Retrieval Context


$114.82


Information extraction regards the processes of structuring and combining content that is explicitly stated or implied in one or multiple unstructured information sources. It involves a semantic classification and linking of certain pieces of information and is considered as a light form of content understanding by the machine. Currently, there is a considerable interest in integrating the results of information extraction in retrieval systems, because of the growing demand for search engines that return precise answers to flexible information queries. Advanced retrieval models satisfy that need and they rely on tools that automatically build a probabilistic model of the content of a (multi-media) document. The book focuses on content recognition in text. It elaborates on the past and current most successful algorithms and their application in a variety of domains (e.g., news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text). An important part discusses current statistical and machine learning algorithms for information detection and classification and integrates their results in probabilistic retrieval models. The book also reveals a number of ideas towards an advanced understanding and synthesis of textual content.The book is aimed at researchers and software developers interested in information extraction and retrieval, but the many illustrations and real world examples make it also suitable as a handbook for students.

 Internet Policies & Issues: v. 7


Internet Policies & Issues: v. 7


$117.21


Used – This book is part of a series exploring the dynamic universe of the Internet in the 21st century. Collected here are papers discussing a wide range of topics and issues impacting and relating to the Internet such as: text mining in electronic health records; search engine types, interfaces and use in proteomics; computer middleware theory and uses; using digital watermarking classifications and applications in analogue channels and IP networks and in identifying audio and video software p

 Internet Policies & Issues: v. 7


Internet Policies & Issues: v. 7


$185.95


New – This book is part of a series exploring the dynamic universe of the Internet in the 21st century. Collected here are papers discussing a wide range of topics and issues impacting and relating to the Internet such as: text mining in electronic health records; search engine types, interfaces and use in proteomics; computer middleware theory and uses; using digital watermarking classifications and applications in analogue channels and IP networks and in identifying audio and video software pr

 Internet Policies & Issues: v. 7


Internet Policies & Issues: v. 7


$117.21


New – This book is part of a series exploring the dynamic universe of the Internet in the 21st century. Collected here are papers discussing a wide range of topics and issues impacting and relating to the Internet such as: text mining in electronic health records; search engine types, interfaces and use in proteomics; computer middleware theory and uses; using digital watermarking classifications and applications in analogue channels and IP networks and in identifying audio and video software pr

 Internet Policies & Issues: v. 7


Internet Policies & Issues: v. 7


$190.47


Used – This book is part of a series exploring the dynamic universe of the Internet in the 21st century. Collected here are papers discussing a wide range of topics and issues impacting and relating to the Internet such as: text mining in electronic health records; search engine types, interfaces and use in proteomics; computer middleware theory and uses; using digital watermarking classifications and applications in analogue channels and IP networks and in identifying audio and video software p

 Introduction to Artificial Intelligence


Introduction to Artificial Intelligence


$39.95


The ultimate aim of artificial intelligence (A.I.) is to understand intelligence and to build intelligent software and robots that come close to the performance of humans. On their way towards this goal, A.I. researchers have developed a number of quite different subdisciplines.This concise and accessible Introduction to Artificial Intelligence supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The textbook presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning.Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at the website http://www.hs-weingarten.de/~ertel/aibook.Students of computer science and other technical natural sciences will find this easy-to-read textbook excellent for self-study, a high-school level of knowledge of mathematics being the only prerequisite to understanding the material. With its extensive tools and bibliography, it is an ideal, quick resource on A.I.

 Introduction to Data Mining: Using SAS Enterprise Miner


Introduction to Data Mining: Using SAS Enterprise Miner


$82.99


Used – Packed with examples from an array of industries, this introductory text provides excellent starting points and practical guidelines to begin data mining. The book also addresses visualizing and summarizing data using clustering, association rules, and predictive modeling using SAS Text Miner software for text analysis.

 Introduction to Data Mining: Using SAS Enterprise Miner


Introduction to Data Mining: Using SAS Enterprise Miner


$55.75


Used – Packed with examples from an array of industries, this introductory text provides excellent starting points and practical guidelines to begin data mining. The book also addresses visualizing and summarizing data using clustering, association rules, and predictive modeling using SAS Text Miner software for text analysis.

 Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning


Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning


$169


“Kernel Based Algorithms for Mining Huge Data Sets” is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction (feature elimination) and shows the similarities and differences between the two most popular unsupervised techniques, the principal component analysis (PCA) and the independent component analysis (ICA). The book presents various examples, software, algorithmic solutions enabling the reader to develop their own codes for solving the problems. The book is accompanied by a website for downloading both data and software for huge data sets modeling in a supervised and semisupervised manner, as well as MATLAB based PCA and ICA routines for unsupervised learning. The book focuses on a broad range of machine learning algorithms and it is particularly aimed at students, scientists, and practicing researchers in bioinformatics (gene microarrays), text-categorization, numerals recognition, as well as in the images and audio signals de-mixing (blind source separation) areas.

 Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning


Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning


$149


“Kernel Based Algorithms for Mining Huge Data Sets” is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction (feature elimination) and shows the similarities and differences between the two most popular unsupervised techniques, the principal component analysis (PCA) and the independent component analysis (ICA). The book presents various examples, software, algorithmic solutions enabling the reader to develop their own codes for solving the problems. The book is accompanied by a website for downloading both data and software for huge data sets modeling in a supervised and semisupervised manner, as well as MATLAB based PCA and ICA routines for unsupervised learning. The book focuses on a broad range of machine learning algorithms and it is particularly aimed at students, scientists, and practicing researchers in bioinformatics (gene microarrays), text-categorization, numerals recognition, as well as in the images and audio signals de-mixing (blind source separation) areas.

 Knowledge Discovery from Data Streams


Knowledge Discovery from Data Streams


$73.02


Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents a coherent overview of state-of-the-art research in learning from data streams.The book covers the fundamentals that are imperative to understanding data streams and describes important applications, such as TCP/IP traffic, GPS data, sensor networks, and customer click streams. It also addresses several challenges of data mining in the future, when stream mining will be at the core of many applications. These challenges involve designing useful and efficient data mining solutions applicable to real-world problems. In the appendix, the author includes examples of publicly available software and online data sets.This practical, up-to-date book focuses on the new requirements of the next generation of data mining. Although the concepts presented in the text are mainly about data streams, they also are valid for different areas of machine learning and data mining.

 Knowledge Management and Technology to Cope with Rapid Discontinuous Change


Knowledge Management and Technology to Cope with Rapid Discontinuous Change


$69.95


Summary:Aimed at knowledge management professionals and students in the field of knowledge management, information science, information systems and software engineering, the book provides answers to the ‘what-is’ and ‘why-is’ questions with regard to knowledge management. It investigates the concepts and elements, the drivers, and challenges involved in knowledge management. In the second part of the book the ‘How’ and ‘With-what’ characteristics of knowledge management are covered. Although knowledge management is primarily concerned with non-technical issues, this book concentrates on the technical issues and challenges. A new technology framework for knowledge management is proposed to position and relate the different knowledge management technologies as well as the two key applications of knowledge management, namely knowledge portals and knowledge discovery (including text mining).Key Features:1. Best practices for a number of knowledge management issues are discussed2. A new technology framework for knowledge management is proposed to position and relate the different knowledge management technologies 3. Written by internationally acknowledged KM researchers and practitionersThe Authors:Dr Antonie Botha gained nearly 30 years of experience during his engagement with IBM. He is currently an independent IT Architect and IT Consultant, specialising in enterprise and integration architecting and knowledge management. Prof Dr Derrick Kourie is a professor in the Department of Computer Science at the University of Pretoria, South Africa. Prof Dr Retha Snyman gained many years of experience during her engagements with various information serviceorganisations. She is responsible for postgraduate student supervision in the Department of Information Science, University of Pretoria. Readership:The book is aimed at knowledge management practitioners as well as knowledge management, information science, information systems

 Machine Learning and Data Mining: Introduction to Principles and Algorithms


Machine Learning and Data Mining: Introduction to Principles and Algorithms


$111.63


New – Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. Written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining, this text is suitable foradvanced undergraduates, postgraduates and tutors in a wide area of com

 Machine Learning and Data Mining: Introduction to Principles and Algorithms


Machine Learning and Data Mining: Introduction to Principles and Algorithms


$169.95


New – Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. Written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining, this text is suitable foradvanced undergraduates, postgraduates and tutors in a wide area of com

 Maintenance, Replacement and Y


Maintenance, Replacement and Y


$140.1


Based on the results of research in physical asset management, Maintenance, Replacement, and Reliability: Theory and Applications introduces students to the tools for making data-driven decisions and how to use them. The book offers a solid theoretical foundation for these tools, demonstrating applications through various case studies. Firmly rooted in reality, the applications covered relate to areas such as food processing, the military, mining, transportation, steel, and petrochemical and pharmaceutical industries. Ideal for classroom use, this text features supplementary software that can be downloaded from the CRC Web site. The downloadable educational versions of software packages include: OREST, SMS, EXAKT for CBM optimization, PERDEC, Workshop Simulator, Crew Size Optimizer, and WiebullSoft. This book can be used as a textbook for a one-semester senior undergraduate or postgraduate course on maintenance decision analysis. It provides problem sets with answers at the end of each chapter, an extensive set of PowerPoint slides covering the various chapters and appendices, a solutions manual for the problems in the book, and a bank of more than 100 examination questions. Instructors who adopt the book can obtain these resources at www.crcpress.com. The authors approach the topic with the ideology that mathematical modeling is not a spectator sport. Their examination of the underpinning theories for formulating models and exploration of real-world applications make the book both informative and practical. It provides professors with the tools they need to easily teach their students how to transform data into information.

 Mining Text Data


Mining Text Data


$81.28


New – Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath

 Mining Text Data


Mining Text Data


$122.96


Used – Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath

 Mining Text Data


Mining Text Data


$81.28


Used – Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath

 Mining Text Data


Mining Text Data


$122.96


New – Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath

 National Centre for Text Mining


National Centre for Text Mining


$27.01


Used – High Quality Content by WIKIPEDIA articles! The National Centre for Text Mining (NaCTeM) was the world’s first publicly funded text mining (TM) centre. It was established to provide support, advice, and information on TM technologies and to disseminate information from the larger TM community, while also providing tailored services and tools in response to the requirements of the United Kingdom academic community. The software tools and services which NaCTeM supplies allow researchers to

 National Centre for Text Mining


National Centre for Text Mining


$48


Used – High Quality Content by WIKIPEDIA articles! The National Centre for Text Mining (NaCTeM) was the world’s first publicly funded text mining (TM) centre. It was established to provide support, advice, and information on TM technologies and to disseminate information from the larger TM community, while also providing tailored services and tools in response to the requirements of the United Kingdom academic community. The software tools and services which NaCTeM supplies allow researchers to

 Natural Language Processing Software: Chatterbots, Natural Language Processing Toolkits, Spelling Checking Programs, Eliza, Mark V Shaney


Natural Language Processing Software: Chatterbots, Natural Language Processing Toolkits, Spelling Checking Programs, Eliza, Mark V Shaney


$10.78


New – Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 36. Chapters: Chatterbots, Natural language processing toolkits, Spelling checking programs, ELIZA, Mark V Shaney, Watson, Google Translate, Spell checker, Text mining, Loebner Prize, General Architecture for Text Engineering, Verbot, Armenian PowerSpell, List of natural language processing toolkits, Distinguo, Virtual Woman, GNU Aspell, Jabberwacky, Cupert

 Natural Language Processing Software: Chatterbots, Natural Language Processing Toolkits, Spelling Checking Programs, Eliza, Mark V Shaney


Natural Language Processing Software: Chatterbots, Natural Language Processing Toolkits, Spelling Checking Programs, Eliza, Mark V Shaney


$16.97


Used – Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 36. Chapters: Chatterbots, Natural language processing toolkits, Spelling checking programs, ELIZA, Mark V Shaney, Watson, Google Translate, Spell checker, Text mining, Loebner Prize, General Architecture for Text Engineering, Verbot, Armenian PowerSpell, List of natural language processing toolkits, Distinguo, Virtual Woman, GNU Aspell, Jabberwacky, Cuper

 Natural Language Processing Software: Chatterbots, Natural Language Processing Toolkits, Spelling Checking Programs, Eliza, Mark V Shaney


Natural Language Processing Software: Chatterbots, Natural Language Processing Toolkits, Spelling Checking Programs, Eliza, Mark V Shaney


$16.97


New – Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 36. Chapters: Chatterbots, Natural language processing toolkits, Spelling checking programs, ELIZA, Mark V Shaney, Watson, Google Translate, Spell checker, Text mining, Loebner Prize, General Architecture for Text Engineering, Verbot, Armenian PowerSpell, List of natural language processing toolkits, Distinguo, Virtual Woman, GNU Aspell, Jabberwacky, Cupert

 Natural Language Processing Software: Chatterbots, Natural Language Processing Toolkits, Spelling Checking Programs, Eliza, Mark V Shaney


Natural Language Processing Software: Chatterbots, Natural Language Processing Toolkits, Spelling Checking Programs, Eliza, Mark V Shaney


$10.78


Used – Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 36. Chapters: Chatterbots, Natural language processing toolkits, Spelling checking programs, ELIZA, Mark V Shaney, Watson, Google Translate, Spell checker, Text mining, Loebner Prize, General Architecture for Text Engineering, Verbot, Armenian PowerSpell, List of natural language processing toolkits, Distinguo, Virtual Woman, GNU Aspell, Jabberwacky, Cuper

 Natural Language and Information Systems: 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008 London, UK, June 24-27, 2008, Proceedings


Natural Language and Information Systems: 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008 London, UK, June 24-27, 2008, Proceedings


$89.95


This book constitutes the refereed proceedings of the 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, held in London, UK, in June 2008.The 31 revised full papers and 14 revised poster papers presented together with 3 invited talks and 4 papers of the NLDB 2008 doctoral symposium were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on natural language processing and understanding, conceptual modelling and ontologies, information retrieval, querying and question answering, document processing and text mining, software (requirements) engineering and specification.

 PHP in Action: Objects, Design, Agility


PHP in Action: Objects, Design, Agility


$5.26


This book shows readers how to apply PHP techniques and principles to all themost common challenges of Web programming.Dagfinn Reiersol has been designing and developing web applications, web content mining software, web programming tools, and text analysis programs, mostly in PHP, since 1997. He also has a long history as a technical writer of software manuals. He lives in Oslo, Norway.

 Physical Database Design


Physical Database Design


$59.05


The rapidly increasing volume of information contained in relational databases places a strain on databases, performance, and maintainability, and DBAs are under greater pressure than ever to optimize database structure for system performance and administration. Physical Database Design discusses the concept of how physical structures of databases affect performance and includes specific examples, guidelines, and best and worst practices for a variety of DBMSs and configurations. Something as simple as improving the table index design has a profound impact on performance. Every form of relational database, such as Online Transaction Processing (OLTP), Enterprise Resource Management (ERP), Data Mining (DM), or Management Resource Planning (MRP), can be improved using these methods. About the Authors: Sam Lightstone is a Senior Technical Staff Member and Development Manager with IBMs DB2 product development team. He is cofounder and leader of DB2s autonomic computing R&D effort. He is Chair of the IEEE Data Engineering Workgroup on Self Managing Database Systems and a member of the IEEE Computer Society Task Force on Autonomous and Autonomic Computing. He is an IBM Master Inventor with over 25 patents and patents pending; he has published widely on autonomic computing for relational database systems. Toby Teorey is a professor emeritus in the Electrical Engineering and Computer Science Department and Director of Academic Programs in the College of Engineering at the University of Michigan, Ann Arbor. He has been active as program chair and program committee member for a variety of database conferences. Tom Nadeau is the founder of Aladdin Software (aladdinsoftware.com)and works in the area of data and text mining. He received M.S. and Ph.D. degrees in electrical engineering and computer science from the University of Michigan, Ann Arbor. His technical interests include data warehousing, OLAP, data mining, and machine learning. He won the best paper

 Principles of Data Mining and Knowledge Discovery: Second European Symposium, PKDD'98, Nantes, France, September 23-26, 1998, Proceedings


Principles of Data Mining and Knowledge Discovery: Second European Symposium, PKDD’98, Nantes, France, September 23-26, 1998, Proceedings


$99


This book constitutes the refereed proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD ‘98, held in Nantes, France, in September 1998. The volume presents 26 revised papers corresponding to the oral presentations given at the conference; also included are refereed papers corresponding to the 30 poster presentations. These papers were selected from a total of 73 full draft submissions. The papers are organized in topical sections on rule evaluation, visualization, association rules and text mining, KDD process and software, tree construction, sequential and spatial data mining, and attribute selection.

 Principles of Data Mining and Knowledge Discovery: Second European Symposium, Pkdd'98, Nantes, France, September 23-26, 1998, Proceedings


Principles of Data Mining and Knowledge Discovery: Second European Symposium, Pkdd’98, Nantes, France, September 23-26, 1998, Proceedings


$85.4


This book constitutes the refereed proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD ”98, held in Nantes, France, in September 1998.The volume presents 26 revised papers corresponding to the oral presentations given at the conference; also included are refereed papers corresponding to the 30 poster presentations. These papers were selected from a total of 73 full draft submissions. The papers are organized in topical sections on rule evaluation, visualization, association rules and text mining, KDD process and software, tree construction, sequential and spatial data mining, and attribute selection.

 Real Life Applications of Soft Computing


Real Life Applications of Soft Computing


$77.69


Used – The application of soft computing techniques in industrial control, security, data mining, software world, robotics, can be easily seen. This book uncovers all such applications, clearly explaining the underlying technology and its implementation. While such systems initially seem complex, the author demonstrates how they can be modeled, designed, and implemented. Using a practical approach, the text provides multidimensional coverage of topics like character recognition, bioinformatics,

 Real Life Applications of Soft Computing


Real Life Applications of Soft Computing


$122.78


Used – The application of soft computing techniques in industrial control, security, data mining, software world, robotics, can be easily seen. This book uncovers all such applications, clearly explaining the underlying technology and its implementation. While such systems initially seem complex, the author demonstrates how they can be modeled, designed, and implemented. Using a practical approach, the text provides multidimensional coverage of topics like character recognition, bioinformatics,

 Real Life Applications of Soft Computing


Real Life Applications of Soft Computing


$122.78


New – The application of soft computing techniques in industrial control, security, data mining, software world, robotics, can be easily seen. This book uncovers all such applications, clearly explaining the underlying technology and its implementation. While such systems initially seem complex, the author demonstrates how they can be modeled, designed, and implemented. Using a practical approach, the text provides multidimensional coverage of topics like character recognition, bioinformatics, c

 Real Life Applications of Soft Computing


Real Life Applications of Soft Computing


$77.69


New – The application of soft computing techniques in industrial control, security, data mining, software world, robotics, can be easily seen. This book uncovers all such applications, clearly explaining the underlying technology and its implementation. While such systems initially seem complex, the author demonstrates how they can be modeled, designed, and implemented. Using a practical approach, the text provides multidimensional coverage of topics like character recognition, bioinformatics, c

 SAS For Dummies


SAS For Dummies


$29.99


Use SAS to meet your data management, analysis, reporting, and forecasting needs Thousands of businesses use hundreds of SAS products to manage and deliver their data more effectively and create reports that mean something. Are you ready to join them? This book helps you use and understand basic SAS software,including SAS Enterprise Guide, SAS Add-In for Microsoft Office, and SAS Web Report Studio. Swiss army knife — learn how SAS® Enterprise Guide® facilitates both access to and protection of corporate data They can do it themselves — see how your analysts can create their own reports with SAS tools Data can’t hide — use infomaps and administered libraries to find data hiding in your PC It’s mine — make your data mining more effective with SAS® Enterprise Miner Show me the report — find out how to create reports in plain text, PDF, RTF, HTML, and SAS Report formats Intelligent BI — explore the concepts of statistics and analytics as they relate to quality business intelligence It’s everywhere — learn to use SAS from your desktop, on the Web, in Excel, and even in PowerPoint A peek at programming — discover how to tweak SAS to fit your needs perfectly Open the book and find: How SAS turns data into useful information A dozen types of graphs you can create Why the IT department loves SAS Installation and setup advice Where to find real-world SAS success stories How to create SAS® content to share with others Online SAS® resources Learn to: Use SAS9 statistical and analytical tools Get various types of data into thesoftware Use Web tools to produce reports Work with operational, financial,performance, and sales data

 SAS For Dummies


SAS For Dummies


$29.99


Use SAS to meet your data management, analysis, reporting, and forecasting needs Thousands of businesses use hundreds of SAS products to manage and deliver their data more effectively and create reports that mean something. Are you ready to join them? This book helps you use and understand basic SAS software,including SAS Enterprise Guide, SAS Add-In for Microsoft Office, and SAS Web Report Studio. Swiss army knife — learn how SAS® Enterprise Guide® facilitates both access to and protection of corporate data They can do it themselves — see how your analysts can create their own reports with SAS tools Data can’t hide — use infomaps and administered libraries to find data hiding in your PC It’s mine — make your data mining more effective with SAS® Enterprise Miner Show me the report — find out how to create reports in plain text, PDF, RTF, HTML, and SAS Report formats Intelligent BI — explore the concepts of statistics and analytics as they relate to quality business intelligence It’s everywhere — learn to use SAS from your desktop, on the Web, in Excel, and even in PowerPoint A peek at programming — discover how to tweak SAS to fit your needs perfectly Open the book and find: How SAS turns data into useful information A dozen types of graphs you can create Why the IT department loves SAS Installation and setup advice Where to find real-world SAS success stories How to create SAS® content to share with others Online SAS® resources Learn to: Use SAS9 statistical and analytical tools Get various types of data into thesoftware Use Web tools to produce reports Work with operational, financial,performance, and sales data

 SAS For Dummies


SAS For Dummies


$29.99


Use SAS to meet your data management, analysis, reporting, and forecasting needsThousands of businesses use hundreds of SAS products to manage and deliver their data more effectively and create reports that mean something. Are you ready to join them? This book helps you use and understand basic SAS software,including SAS Enterprise Guide, SAS Add-In for Microsoft Office, and SAS Web Report Studio.Swiss army knife — learn how SAS® Enterprise Guide® facilitates both access to and protection of corporate dataThey can do it themselves — see how your analysts can create their own reports with SAS toolsData can’t hide — use infomaps and administered libraries to find data hiding in your PCIt’s mine — make your data mining more effective with SAS® Enterprise MinerShow me the report — find out how to create reports in plain text, PDF, RTF, HTML, and SAS Report formatsIntelligent BI — explore the concepts of statistics and analytics as they relate to quality business intelligenceIt’s everywhere — learn to use SAS from your desktop, on the Web, in Excel, and even in PowerPointA peek at programming — discover how to tweak SAS to fit your needs perfectlyOpen the book and find:How SAS turns data into useful informationA dozen types of graphs you can createWhy the IT department loves SASInstallation and setup adviceWhere to find real-world SAS success storiesHow to create SAS® content to share with othersOnline SAS® resourcesLearn to:Use SAS9 statistical and analytical toolsGet various types of data into thesoftwareUse Web tools to produce reportsWork with operational, financial,performance, and sales data

 SQL Server 2005 Enterprise with 25 CAL


SQL Server 2005 Enterprise with 25 CAL


$4988.1


As a low-cost mainstream database, SQL Server 2005 delivers unprecedented value and functionality compared with competitive solutions. It offers a range of features, from high availability and robust scalability to advanced business intelligence tools, designed to empower users across an organization through a more secure, reliable, and productive data management platform. Additionally, with the reduced application downtime, robust scalability and performance, and tight security controls, SQL Server 2005 represents a dramatic step forward in supporting the most demanding enterprise systems in the world. Because SQL Server is part of Windows Server System, customers also receive the added benefits of reduced total cost of ownership and faster development time through the increased manageability and integration that result from the common engineering strategy implemented across Windows Server System products.The Enterprise Edition includes a full feature set for enterprise database needs. It provides support for an unlimited number of multicore processor, with memory limited only by the maximum supported by operating system. Only the Enterprise Edition delivers support for large-scale databases and parallel processing of indexing operations. High availability tools include online indexing and online restore, as well as database availability when undo operations begin.The Enterprise Edition automatically suggests enhancements to your database architecture to improve performance. All SQL server security and programmability tools are included. Enterprise-only integration and interoperability tools include data mining, text mining, and data cleansing, plus transactional replication with an Oracle database as a publisher.

 SQL Server 2005 Enterprise with 25 CAL


SQL Server 2005 Enterprise with 25 CAL


$6000


As a low-cost mainstream database, SQL Server 2005 delivers unprecedented value and functionality compared with competitive solutions. It offers a range of features, from high availability and robust scalability to advanced business intelligence tools, designed to empower users across an organization through a more secure, reliable, and productive data management platform. Additionally, with the reduced application downtime, robust scalability and performance, and tight security controls, SQL Server 2005 represents a dramatic step forward in supporting the most demanding enterprise systems in the world. Because SQL Server is part of Windows Server System, customers also receive the added benefits of reduced total cost of ownership and faster development time through the increased manageability and integration that result from the common engineering strategy implemented across Windows Server System products.The Enterprise Edition includes a full feature set for enterprise database needs. It provides support for an unlimited number of multicore processor, with memory limited only by the maximum supported by operating system. Only the Enterprise Edition delivers support for large-scale databases and parallel processing of indexing operations. High availability tools include online indexing and online restore, as well as database availability when undo operations begin.The Enterprise Edition automatically suggests enhancements to your database architecture to improve performance. All SQL server security and programmability tools are included. Enterprise-only integration and interoperability tools include data mining, text mining, and data cleansing, plus transactional replication with an Oracle database as a publisher.

 SQL Server 2005 Enterprise with 25 CAL 64 Bit


SQL Server 2005 Enterprise with 25 CAL 64 Bit


$7304.85


As a low-cost mainstream database, SQL Server 2005 delivers unprecedented value and functionality compared with competitive solutions. It offers a range of features, from high availability and robust scalability to advanced business intelligence tools, designed to empower users across an organization through a more secure, reliable, and productive data management platform. Additionally, with the reduced application downtime, robust scalability and performance, and tight security controls, SQL Server 2005 represents a dramatic step forward in supporting the most demanding enterprise systems in the world. Because SQL Server is part of Windows Server System, customers also receive the added benefits of reduced total cost of ownership and faster development time through the increased manageability and integration that result from the common engineering strategy implemented across Windows Server System products.The Enterprise Edition includes a full feature set for enterprise database needs. It provides support for an unlimited number of multicore processor, with memory limited only by the maximum supported by operating system. Only the Enterprise Edition delivers support for large-scale databases and parallel processing of indexing operations. High availability tools include online indexing and online restore, as well as database availability when undo operations begin.The Enterprise Edition automatically suggests enhancements to your database architecture to improve performance. All SQL server security and programmability tools are included. Enterprise-only integration and interoperability tools include data mining, text mining, and data cleansing, plus transactional replication with an Oracle database as a publisher.

 SQL Server 2005 Enterprise with 25 CAL x64 Bit


SQL Server 2005 Enterprise with 25 CAL x64 Bit


$7599.9


As a low-cost mainstream database, SQL Server 2005 delivers unprecedented value and functionality compared with competitive solutions. It offers a range of features, from high availability and robust scalability to advanced business intelligence tools, designed to empower users across an organization through a more secure, reliable, and productive data management platform. Additionally, with the reduced application downtime, robust scalability and performance, and tight security controls, SQL Server 2005 represents a dramatic step forward in supporting the most demanding enterprise systems in the world. Because SQL Server is part of Windows Server System, customers also receive the added benefits of reduced total cost of ownership and faster development time through the increased manageability and integration that result from the common engineering strategy implemented across Windows Server System products.The Enterprise Edition includes a full feature set for enterprise database needs. It provides support for an unlimited number of multicore processor, with memory limited only by the maximum supported by operating system. Only the Enterprise Edition delivers support for large-scale databases and parallel processing of indexing operations. High availability tools include online indexing and online restore, as well as database availability when undo operations begin.The Enterprise Edition automatically suggests enhancements to your database architecture to improve performance. All SQL server security and programmability tools are included. Enterprise-only integration and interoperability tools include data mining, text mining, and data cleansing, plus transactional replication with an Oracle database as a publisher.

 Social Media Modeling and Computing


Social Media Modeling and Computing


$99


The emergence of user-centric multimedia applications on social networks has been instrumental in the creation of a new form of “social” media – created using highly accessible and scalable publishing technologies for sharing via the internet.This timely text/reference presents the latest advances in various aspects of social media modeling and social media computing research. Gathering together superb research from a range of established international conferences and workshops, the editors coherently organize and present each of the topics in relation to the basic principles and practices of social media modeling and computing. Individual chapters can be also be used as self-contained references on the material covered.Topics and features: presents contributions from an international selection of preeminent experts in the field; discusses topics on social-media content analysis, including social-image tag analysis and ranking, tag-based social image search, analysis by combining multimodal features, and multi-label social-image annotation; examines social-media system design and analysis, covering mechanisms for incentivizing contributions, analysis of users and online behaviors in video sharing portals, and visual analytic tools for event analysis; investigates access control for privacy and security issues in social networks; describes emerging applications of social media, for music recommendation, automatic image annotation, and the analysis and improvement of photo-books.This unique text is a must-read, must-use tool for software developers, researchers and graduate students working on multimedia, web search, data mining and machine learning, and related disciplines. High-level managers and professional engineers interested in emerging social media modeling and computing technologies will also find the book to be an invaluable reference.

 Sports Data Mining


Sports Data Mining


$95.26


New – From baseball to greyhound racing and beyond, “Sports Data Mining” presents the latest research, developments, software and applications for data mining in sports. The text examines hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

 Sports Data Mining


Sports Data Mining


$63.65


Used – From baseball to greyhound racing and beyond, “Sports Data Mining” presents the latest research, developments, software and applications for data mining in sports. The text examines hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

 Sports Data Mining


Sports Data Mining


$65.09


New – From baseball to greyhound racing and beyond, “Sports Data Mining” presents the latest research, developments, software and applications for data mining in sports. The text examines hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

 Sports Data Mining


Sports Data Mining


$123.66


New – From baseball to greyhound racing and beyond, Sports Data Mining presents the latest research, developments, software and applications for data mining in sports. The text examines hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

 Sports Data Mining


Sports Data Mining


$95.28


Used – From baseball to greyhound racing and beyond, “Sports Data Mining” presents the latest research, developments, software and applications for data mining in sports. The text examines hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

 Sports Data Mining


Sports Data Mining


$207.35


New – From baseball to greyhound racing and beyond, Sports Data Mining presents the latest research, developments, software and applications for data mining in sports. The text examines hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

 Survey of Text Mining I: Clustering, Classification, and Retrieval


Survey of Text Mining I: Clustering, Classification, and Retrieval


$124


As the volume of digitized textual information continues to grow, so does the critical need for designing robust and scalable indexing and search strategies/software to meet a variety of user needs. Knowledge extraction or creation from text requires systematic, yet reliable processing that can be codified and adapted for changing needs and environments. Survey of Text Mining is a comprehensive edited survey organized into three parts: Clustering and Classification; Information Extraction and Retrieval; and Trend Detection. Many of the chapters stress the practical application of software and algorithms for current and future needs in text mining. Authors from industry provide their perspectives on current approaches for large-scale text mining and obstacles that will guide R&D activity in this area for the next decade. Topics and features:* Highlights issues such as scalability, robustness, and software tools * Brings together recent research and techniques from academia and industry* Examines algorithmic advances in discriminant analysis, spectral clustering, trend detection, and synonym extraction* Includes case studies in mining Web and customer-support logs for hot- topic extraction and query characterizations* Extensive bibliography of all references, including websitesThis useful survey volume taps the expertise of academicians and industry professionals to recommend practical approaches to purifying, indexing, and mining textual information. Researchers, practitioners, and professionals involved in information retrieval, computational statistics, and data mining, who need the latest text-mining methods and algorithms, will find the book an indispensable resource.

 Survey of Text Mining I: Clustering, Classification, and Retrieval


Survey of Text Mining I: Clustering, Classification, and Retrieval


$15.9


Used – Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory.As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowle

 Survey of Text Mining I: Clustering, Classification, and Retrieval


Survey of Text Mining I: Clustering, Classification, and Retrieval


$18.61


Used – Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory.As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowle

 Survey of Text Mining I: Clustering, Classification, and Retrieval


Survey of Text Mining I: Clustering, Classification, and Retrieval


$124


As the volume of digitized textual information continues to grow, so does the critical need for designing robust and scalable indexing and search strategies/software to meet a variety of user needs. Knowledge extraction or creation from text requires systematic, yet reliable processing that can be codified and adapted for changing needs and environments. Survey of Text Mining is a comprehensive edited survey organized into three parts: Clustering and Classification; Information Extraction and Retrieval; and Trend Detection. Many of the chapters stress the practical application of software and algorithms for current and future needs in text mining. Authors from industry provide their perspectives on current approaches for large-scale text mining and obstacles that will guide R&D activity in this area for the next decade. Topics and features:* Highlights issues such as scalability, robustness, and software tools * Brings together recent research and techniques from academia and industry* Examines algorithmic advances in discriminant analysis, spectral clustering, trend detection, and synonym extraction* Includes case studies in mining Web and customer-support logs for hot- topic extraction and query characterizations* Extensive bibliography of all references, including websitesThis useful survey volume taps the expertise of academicians and industry professionals to recommend practical approaches to purifying, indexing, and mining textual information. Researchers, practitioners, and professionals involved in information retrieval, computational statistics, and data mining, who need the latest text-mining methods and algorithms, will find the book an indispensable resource.

 Survey of Text Mining II: Clustering, Classification, and Retrieval


Survey of Text Mining II: Clustering, Classification, and Retrieval


$18.74


The proliferation of digital computing devices and their use in communication has resulted in an increased demand for systems and algorithms capable of mining textual data. Thus, the development of techniques for mining unstructured, semi-structured, and fully-structured textual data has become increasingly important in both academia and industry.This second volume continues to survey the evolving field of text mining – the application of techniques of machine learning, in conjunction with natural language processing, information extraction and algebraic/mathematical approaches, to computational information retrieval. Numerous diverse issues are addressed, ranging from the development of new learning approaches to novel document clustering algorithms, collectively spanning several major topic areas in text mining.Features:• Acts as an important benchmark in the development of current and future approaches to mining textual information• Serves as an excellent companion text for courses in text and data mining, information retrieval and computational statistics• Experts from academia and industry share their experiences in solving large-scale retrieval and classification problems• Presents an overview of current methods and software for text mining• Highlights open research questions in document categorization and clustering, and trend detection• Describes new application problems in areas such as email surveillance and anomaly detectionSurvey of Text Mining II offers a broad selection in state-of-the art algorithms and software for text mining from both academic and industrial perspectives, to generate interest and insight into the state of the field. This book will be an indispensable resource for researchers, practitioners, and professionals involved in information retrieval, computational statistics, and data mining.Michael W. Berry is a professor in the Department of Electrical Engineering and

 Tech Mining: Exploiting New Technologies for Competitive Advantage


Tech Mining: Exploiting New Technologies for Competitive Advantage


$128


How to dig out the gems from the world’s vast trove of technological informationA business’s competitiveness depends on the effective use of the vast amounts of information available. Tech Mining: Exploiting New Technologies for Competitive Advantage shows technology managers and other professionals not only how to sift through the chaff and get to the key kernels that lead to innovation—in short, information management—but how to make better use of information leads in order to make better decisions. Tech Mining explains how to use the available software tools, including generic search engines and standard MS Office capabilities, in conjunction with text mining software such as VantagePoint®, in order to quickly access the technological information needed to gain critical competitive advantage. With screen shots and charts throughout, the book shows the reader how to: Select and access the most valuable technology information resourcesSearch, retrieve, and clean information on topics of interestAnalyze huge quantities of information on emerging technologies to locate nuggets of value and to see the overall development profileIdentify technological trends and forecast likely future developmentsGauge prospects for successful technological innovation using tailoredinnovation indicatorsIntegrate empirical findings with expert opinion to provide compelling answers to managerial questionsWith Web-based practice datasets and the VantagePoint reader software, Tech Mining will take managers and their enterprises beyond common information management to become wiser consumers—and exploiters—of today’s science and technology.

 Text Mining Application Programming


Text Mining Application Programming


$21.44


Used – Text Mining Application Programming teaches software developers how to mine the vast amounts of information available on the Web, internal networks, and desktop files and turn it into usable data. The book helps developers understand the problems associated with managing unstructured text, and explains how to build your own mining tools using standard statistical methods from information theory, artificial intelligence, and operations research. Each of the topics covered are thoroughly ex

 Text Mining Application Programming


Text Mining Application Programming


$28.5


New – Text Mining Application Programming teaches software developers how to mine the vast amounts of information available on the Web, internal networks, and desktop files and turn it into usable data. The book helps developers understand the problems associated with managing unstructured text, and explains how to build your own mining tools using standard statistical methods from information theory, artificial intelligence, and operations research. Each of the topics covered are thoroughly exp

 Text Mining Application Programming


Text Mining Application Programming


$37.77


New – Text Mining Application Programming teaches software developers how to mine the vast amounts of information available on the Web, internal networks, and desktop files and turn it into usable data. The book helps developers understand the problems associated with managing unstructured text, and explains how to build your own mining tools using standard statistical methods from information theory, artificial intelligence, and operations research. Each of the topics covered are thoroughly exp

 Text Mining Application Programming


Text Mining Application Programming


$27.4


Used – Text Mining Application Programming teaches software developers how to mine the vast amounts of information available on the Web, internal networks, and desktop files and turn it into usable data. The book helps developers understand the problems associated with managing unstructured text, and explains how to build your own mining tools using standard statistical methods from information theory, artificial intelligence, and operations research. Each of the topics covered are thoroughly ex

 Text Processing with Gate (Version 6)


Text Processing with Gate (Version 6)


$21.18


Used – GATE is a free open-source infrastructure for developing and deploying software components that process human language. It is more than 15 years old and is in active use for all types of computational tasks involving language (frequently called natural language processing, text analytics, or text mining). GATE excels at text analysis of all shapes and sizes. From large corporations to small startups, from multi-million research consortia to undergraduate projects, our user community is th

 Text Processing with Gate (Version 6)


Text Processing with Gate (Version 6)


$33.62


Used – GATE is a free open-source infrastructure for developing and deploying software components that process human language. It is more than 15 years old and is in active use for all types of computational tasks involving language (frequently called natural language processing, text analytics, or text mining). GATE excels at text analysis of all shapes and sizes. From large corporations to small startups, from multi-million research consortia to undergraduate projects, our user community is th

 Text Processing with Gate (Version 6)


Text Processing with Gate (Version 6)


$21.04


New – GATE is a free open-source infrastructure for developing and deploying software components that process human language. It is more than 15 years old and is in active use for all types of computational tasks involving language (frequently called natural language processing, text analytics, or text mining). GATE excels at text analysis of all shapes and sizes. From large corporations to small startups, from multi-million research consortia to undergraduate projects, our user community is the

 Text Processing with Gate (Version 6)


Text Processing with Gate (Version 6)


$33.62


New – GATE is a free open-source infrastructure for developing and deploying software components that process human language. It is more than 15 years old and is in active use for all types of computational tasks involving language (frequently called natural language processing, text analytics, or text mining). GATE excels at text analysis of all shapes and sizes. From large corporations to small startups, from multi-million research consortia to undergraduate projects, our user community is the

 The Art and Technique of Matchmoving: Solutions for the VFX Artist


The Art and Technique of Matchmoving: Solutions for the VFX Artist


$44.95


This authoritative step-by-step guide from one of the best matchmovers in the business allows you to master the skill that is the foundation upon which all VFX work stands. Author Erica Hornung (Senior Matchmover on the Spider-Man series, Ghost Rider, and more) imparts her techniques, tips, and wisdom from the trenches that will have you matchmoving like a true professional in no time. Featuring: Up close looks at different types of camera moves, practical advice for surveying on set, and valuable information about the inner workings of both film and video cameras A chapter on the author’s specialty, character matchmove, shows you how to match character movements for the purpose of adding objects, shadow casting, or providing a framework for CG smoke and fire- an important matchmoving technique, and one where little instruction currently exists Detailed instructions on using various VFX software packages and character rig controls specifically from the matchmover’s perspective The companion DVD includes Quicktime examples of techniques shown in the book, and project files that allow you to master these techniques yourself by working alongside the lessons featured in the text. Master the fundamental VFX technique task of matchmoving with tips, techniques, tools, and workflow considerations from a seasoned professional Incorporate the real-world advice into your problem-solving arsenal In depth lessons on methods of CG set construction without set data, as well as information mining tips for matchmove

 The Art and Technique of Matchmoving: Solutions for the VFX Artist


The Art and Technique of Matchmoving: Solutions for the VFX Artist


$29.06


This authoritative step-by-step guide from one of the best matchmovers in the business allows you to master the skill that is the foundation upon which all VFX work stands. Author Erica Hornung (Senior Matchmover on the Spider-Man series, Ghost Rider, and more) imparts her techniques, tips, and wisdom from the trenches that will have you matchmoving like a true professional in no time. Featuring: Up close looks at different types of camera moves, practical advice for surveying on set, and valuable information about the inner workings of both film and video cameras A chapter on the author’s specialty, character matchmove, shows you how to match character movements for the purpose of adding objects, shadow casting, or providing a framework for CG smoke and fire- an important matchmoving technique, and one where little instruction currently exists Detailed instructions on using various VFX software packages and character rig controls specifically from the matchmover’s perspective The companion DVD includes Quicktime examples of techniques shown in the book, and project files that allow you to master these techniques yourself by working alongside the lessons featured in the text. Master the fundamental VFX technique task of matchmoving with tips, techniques, tools, and workflow considerations from a seasoned professional Incorporate the real-world advice into your problem-solving arsenal In depth lessons on methods of CG set construction without set data, as well as information mining tips for matchmove

 Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing


Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing


$139


Parsing technology is a central area of research in the automatic processing of human language. It is concerned with the decomposition of complex structures into their constituent parts, in particular with the methods, the tools and the software to parse automatically. Parsers are used in many application areas, such as information extraction from free text or speech, question answering, speech recognition and understanding, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable.This book collects contributions from leading researchers in the area of natural language processing technology, describing their recent work and a range of new techniques and results. The book presents a state-of-the-art overview of current research in parsing tehcnologies with a focus on three important themes in the field today: dependency parsing, domain adaptation, and deep parsing.This book is the fourth in a line of such collections, and its breadth over coverage should make it suitable both as an overview of the state of the field for graduate students, and as a reference for established researchers in Computational Linguistics, Artificial Intelligence, Computer Science, Language Engineering, Information Science, and Cognitive Science. It will also be of interest to designers, developers, and advanced users of nautral language processing systems, including applications such as spoken dialogue, text mining, multimodal human-computer interaction, and semantic web technology.

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