Mining Tools
Feb 16, 2012
Data Mining Tools For Finding The Data From The Websites
Effective uses of Data Mining tools require a great interface. No matter what you use data mining system, get information through an interface should work. Data mining tools, in choosing the reliability, flexibility and ease of use and data outputs are important factors in his decision.
Basically, you have a business intelligence solution that provides accurate data to data in a format that is easy to understand production, are in need of Mining Equipment. If necessary, in order to understand their own business will help you decide what data mining.
Statistics data mining methods for pattern extraction from large data sets by combining process and “if, then the ‘artificial intelligence with a database. So, first, if you have large databases, multiple places, and you sift through the data for your daily work should be able to find relevant information, then yes, you need data mining tools.
Data mining tools are generally found in business intelligence software, but some internal implementation of your unique work environment requires an adjustment to sort data that benefit fraud offenses related to child welfare or public bodies can not.
In addition, the data in a local business may come from its history; records of participants for the events are based on crimes outside of these events and so on. Sort through the multitude of data to a decision which way to solve a crime Imagine to investigate. It is almost impossible without the use of Data Mining Techniques.
Data mining tools, such as text, video feeds, audio feeds, email, SMS, other computer systems, and their website to find all types of data as input and output capabilities must be in place to incorrect data prevented serious consideration. Bad data is bad data verified according to your specifications through data mining tool cracked, business intelligence software to determine how data is displayed that will help.
Without the ability to understand the data, it has no value to the consumer. Therefore, the visual representation of data in Excel spreadsheet is a modern approach to old-fashioned lines.
Data can be mapped on top of the graphic image or a support. Back to the example of law enforcement. Map of past crimes in the daylight hours during the night can be superimposed on a map of the crimes. Any body who does not suffer from data mining techniques to quickly see if the same type of crimes by day or night and will travel.
In visual analysis based on crime data from business intelligence to highlight where additional resources to prevent crime before it happens, it is also predicted. Small to large police forces, the data cracked at the bottom of this useful information available, what’s the guess work out of fighting crime.
Relevant and irrelevant data, sorting through a thorough investigation to ensure that information is valuable for your organization to get the amount of time, personnel, and part of the initial investment can be costly, long-term benefits that result a faster and better data can take the guesswork out of day to day activities are included.
Joseph Hayden writes article on
Data Scraping Services
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Web Data Scraping
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Website Data Scraping
, Web Screen Scraping, Web Data Mining, Web Data Extraction etc.
presentation du mod mining tools
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Genomes, Browsers and Databases (Hardcover) $131.08 The recent explosive growth of biological data has lead to a rapid increase in the number of molecular biology databases. Held in many different locations and often using varying interfaces and non-standard data formats, integrating and comparing data … |
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Genomes, Browsers and Databases (Paperback) $57.33 The recent explosive growth of biological data has lead to a rapid increase in the number of molecular biology databases. Held in many different locations and often using varying interfaces and non-standard data formats, integrating and comparing data … |
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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 |
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Design and Implementation of Data Mining Tools $90.72 No Synopsis Available |
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Data Mining with Microsoft SQL Server 2008 $44.99 Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008 , which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve business analysis problems. |
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Data Mining : Practical Machine Learning Tools and Techniques $51.18 No Synopsis Available |
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Data Mining and Statistics for Decision Making $89.99 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. |
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Handbook Of Statistical Analysis And Data Mining Applications $95.99 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. |
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Data Mining: Concepts and Techniques, 3rd Edition $48.72 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 |
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Data Mining with Microsoft® SQL Server 2000 Technical Reference $23.89 <div><p>The amount of information stored in corporate databases is exploding exponentially. Data miningfinding meaningful patterns in all that datacan give any organization a competitive advantage. This book is the in-depth reference from Microsoft® for anyone who wants to take full advantage of the powerful data-mining features in SQL Server 2000. It examines the SQL Server 2000 Analysis Services architecture and shows how data mining fits into its complete suite of information-extraction technologies. Then it demonstrates how to structure and mine large databases with the algorithms included with SQL Server 2000 to find nuggets of useful information. It even shows how to create a practice data-mining model using data downloaded from a database. Coverage includes: <br/></p> <ul><li>INTRODUCTION TO DATA MINING: What data mining is and isnt, plus important principles and definitions behind data-mining methodologies, including the role of data-mining models, statistics, and algorithms </li><li>SQL SERVER 2000 ARCHITECTURE: How data mining fits into the SQL Server 2000 Analysis Services architecture and how it builds on the SQL Server 2000 relational database and its embedded online analytical processing (OLAP) engine </li><li>DATA-MINING METHODS: How to choose the best data-mining method for the jobdecision trees or clustering </li><li>EASE OF USE FEATURES: How to use the Mining Model Wizard and the OLAP Mining Model Editor to simplify creating, training, and processing a model </li><li>PROGRAMMING THE DATA-MINING SERVICES: How to use data-mining models and Data Transformation Services, PivotTable® Services, decision-support objects (DSO), PERL, Visual Basic®, Scripting Edition, XML, and other tools and languages to work with the data-mining engine </li></ul></div> |
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Mining Instruction $24.99 Mining Instruction – Photographic Print |
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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management $22.99 The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition&#8212;more than 50% new and revised&#8212;&#160;is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.&#160; Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more Provides best practices for performing data mining using simple tools such as Excel Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results. |
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Data Mining: Practical Machine Learning Tools and Techniques, by Witten, 2nd Edition $26.24 This book is in Like New condition |
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Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, by Witten $73.19 This book is in Used condition |
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1.8 x 75mm Triangle Screwdriver Green $3.69 Specifications:1.8 x 75mm screwdriver with hard plastic handle and magnetic tip Steel blades and hard plastic handle Use this Triangle Screwdriver for plants, mining area, families and other electric instruments repairing The triangle screwdriver features a black tip, easy to pick up screws Ergonomically designed handle for non-slip and comfort grap Dimensions: 182 x 21mm/7.2 x 0.8in(L x D)Details:1.8 x 75mm Steel Blades Triangle Screwdriver This Screwdriver Tools are ideal for repair, maintenance and home use The Screwdriver tip is easy to useThis handle is comfortable to hold Ultra-comfort handle for exceptional control, grip and balance. Quickly identifies screwdriver tip/orientationThis Precision Triangle Screwdriver is a perfect addition to any toolbox or toolkit on the roodScrewdriver:screwdriver is a tool for driving screws and rotating other machine elements with the mating |
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13th IEEE international conference on tools with artificial intelligence. $0.99 Used – The proceedings from then November 2001 conference in Dallas contain 44 papers covering the following topics: multi-agents and distributed AI, reasoning, genetic algorithms, planning, machine learning and data mining, natural language processing and information retrieval, software engineering, constraint satisfaction, and applications. An abstract is included for each paper. Contributors are artificial intelligence researchers from around the world. Author index only. Annotation c. Boo |
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13th IEEE international conference on tools with artificial intelligence. $5 Used – The proceedings from then November 2001 conference in Dallas contain 44 papers covering the following topics: multi-agents and distributed AI, reasoning, genetic algorithms, planning, machine learning and data mining, natural language processing and information retrieval, software engineering, constraint satisfaction, and applications. An abstract is included for each paper. Contributors are artificial intelligence researchers from around the world. Author index only. Annotation c. Boo |
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1609: A Country That Was Never Lost $19.58 Profit in silk and spices lured them into Arctic straits, but the chilling reality of the Little Ice Age blocked their passage. And so Henry Hudson and his mutinous crew turned westward armed with vague charts and supposed sightings of the Indian Ocean across a narrow sandy isthmus. Upon their arrival, crowds of curious Manhattans greeted them in canoes made from tree trunks. Dressed in animal skins and mantles woven of turkey feathers, they offered corn, beans, oysters, tobacco, hemp, grapes and pumpkins in trade for cloth, metal tools and trinkets. Mining contemporary sources, historian Kevin W. Wright has carefully reconstructed the native world that Henry Hudson encountered during his fateful voyage of 1609. In so doing, he dispels the fog of nineteenth and twentieth century myths to rediscover the North Americans of the Middle Atlantic Coast. Describing their original homelands and culture in great detail, he brings the panorama of culturally diverse native societies to life. These were truly the First Americans, inclined to live “almost all equally free.” Could their natural democracy lie at the heart of the American spirit? The Hudson Quadricentennial marks the birth of the Dutch colony of New Netherland upon the Hudson and Delaware Rivers and the dawn of history for Delaware, New Jersey, Pennsylvania, New York and Connecticut. But as early as 1656, Dutch commentator Adriæn van der Donck wondered how Christopher Columbus or Amerigo Vespucci could have discovered “a country that was never lost?” Through these pages readers step back in time for a visit with ancient Algonquian and Iroquoian communities of Native Americans, including the original Manhattans, the Minisinks of Bachom’s Country, the Lenape of the Schuylkill estuary, the Mahicans, Susquehannocks, Mohawks and others whose names have been lost in the mists of time. “1609: A Country That Was Never Lost” includes a bibliography, extensive end notes, and a very comprehensive |
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1999 IEEE Workshop on Knowledge and Data Exchange (Kdex’99) $62.62 Used – These proceedings, from the third in a series of workshops organized in conjunction with the IEEE Tools with Artificial Intelligence Conference in November 1999, incorporate 17 selected papers, two invited talks, and a panel discussion on the convergence of technologies on the Web. The papers, presented by scholars from around the world, are organized into five categories: Web searching and navigation; data mining; interoperability and knowledge sharing; audio/video modeling; and AI app |
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1999 IEEE Workshop on Knowledge and Data Exchange (Kdex’99) $92.11 Used – These proceedings, from the third in a series of workshops organized in conjunction with the IEEE Tools with Artificial Intelligence Conference in November 1999, incorporate 17 selected papers, two invited talks, and a panel discussion on the convergence of technologies on the Web. The papers, presented by scholars from around the world, are organized into five categories: Web searching and navigation; data mining; interoperability and knowledge sharing; audio/video modeling; and AI app |
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2002 Tools W Artificial Intelligence 14th Conf $0.99 Used – Papers from a November 2002 conference present recent research and practice in artificial intelligence methodologies and discuss issues involved in turning these methodologies into practical tools for developing intelligent systems and applications. Machine learning, data mining and knowledge discovery, constraint satisfaction, intelligent information retrieval, planning and scheduling, intelligent real-time systems, logic and reasoning, natural language processing, multimedia and image p |
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2002 Tools W Artificial Intelligence 14th Conf $5.01 Used – Papers from a November 2002 conference present recent research and practice in artificial intelligence methodologies and discuss issues involved in turning these methodologies into practical tools for developing intelligent systems and applications. Machine learning, data mining and knowledge discovery, constraint satisfaction, intelligent information retrieval, planning and scheduling, intelligent real-time systems, logic and reasoning, natural language processing, multimedia and image p |
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21 Recipes For Mining Twitter $29.99 Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: Use OAuth to access Twitter data Create and analyze graphs of retweet relationships Use the streaming API to harvest tweets in realtime Harvest and analyze friends and followers Discover friendship cliques Summarize webpages from short URLs This book is a perfect companion to O”Reilly’’s Mining the Social Web. |
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21 Recipes for Mining Twitter $15.7 Used – Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: Use OAuth to access Twitter data Create and analyze graphs of retwee |
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21 Recipes for Mining Twitter $15.58 New – Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: Use OAuth to access Twitter data Create and analyze graphs of retweet |
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21 Recipes for Mining Twitter $24.09 Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to:Use OAuth to access Twitter data Create and analyze graphs of retweet relationships Use the streaming API to harvest tweets in realtime Harvest and analyze friends and followers Discover friendship cliques Summarize webpages from short URLs This book is a perfect companion to O’Reilly’s Mining the Social Web. |
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21 Recipes for Mining Twitter $24.28 Used – Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: Use OAuth to access Twitter data Create and analyze graphs of retwee |
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21 Recipes for Mining Twitter $24.32 New – Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: Use OAuth to access Twitter data Create and analyze graphs of retweet |
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A Descriptive Treatise on Mining Machinery, Tools, and Other Appliances Used in Mining $29.27 New |
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A Descriptive Treatise on Mining Machinery, Tools, and Other Appliances Used in Mining $17.15 New |
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A Descriptive Treatise on Mining Machinery, Tools, and Other Appliances Used in Mining $29.27 Used |
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A Descriptive Treatise on Mining Machinery, Tools, and Other Appliances Used in Mining $24.74 New |
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A Descriptive Treatise on Mining Machinery, Tools, and Other Appliances Used in Mining $24.91 A Descriptive Treatise on Mining Machinery, Tools, and Other Appliances Used in Mining |
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A Descriptive Treatise on Mining Machinery, Tools, and Other Appliances Used in Mining $19.48 Used |
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A Descriptive Treatise on Mining Machinery, Tools, and Other Appliances Used in Mining $19.48 New |
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A Descriptive Treatise on Mining Machinery, Tools, and Other Appliances Used in Mining $17.15 Used |
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A Descriptive Treatise on Mining Machinery, Tools, and Other Appliances Used in Mining $24.74 Used |
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A Practical Approach To Microarray Data Analysis $40.49 A Practical Approach to Microarray Data Analysis is for all life scientists, statisticians, computer experts, technology developers, managers, and other professionals tasked with developing, deploying, and using microarray technology including the necessary computational infrastructure and analytical tools. The book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and tools. It is intended for students, teachers, researchers, and research managers who want to understand the state of the art and of the presented methodologies and the areas in which gaps in our knowledge demand further research and development. The book is designed to be used by the practicing professional tasked with the design and analysis of microarray experiments or as a text for a senior undergraduate- or graduate level course in analytical genetics, biology, bioinformatics, computational biology, statistics and data mining, or applied computer science. Key topics covered include: -Format of result from data analysis, analytical modeling/experimentation; -Validation of analytical results; -Data analysis/Modeling task; -Analysis/modeling tools; -Scientific questions, goals, and tasks; -Application; -Data analysis methods; -Criteria for assessing analysis methodologies, models, and tools. |
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A Practical Approach to Microarray Data Analysis $59.95 The book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and tools. It is intended for students, teachers, researchers, and research managers who want to understand the state of the art and of the presented methodologies and the areas in which gaps in our knowledge demand further research and development. The book is designed to be used by the practicing professional tasked with the design and analysis of microarray experiments or as a text for a senior undergraduate- or graduate level course in analytical genetics, biology, bioinformatics, computational biology, statistics and data mining, or applied computer science. |
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A Practical Programming Model for the Multi-Core Era $54.1 This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on OpenMP, IWOMP 2007, held in Beijing, China, in June 2007. The 14 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 28 submissions. The papers address all topics related to OpenMP, such as OpenMP performance analysis and modeling, OpenMP performance and correctness tools and proposed OpenMP extensions, as well as applications in various domains, e.g., scientific computation, video games, computer graphics, multimedia, information retrieval, optimization, text processing, data mining, finance, signal and image processing, and numerical solvers. |
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A Practical Programming Model for the Multi-Core Era: International Workshop on OpenMP, IWOMP 2007 Beijing, China, June 3-7, 2007, Proceedings $69.95 This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on OpenMP, IWOMP 2007, held in Beijing, China, in June 2007.The 14 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 28 submissions. The papers address all topics related to OpenMP, such as OpenMP performance analysis and modeling, OpenMP performance and correctness tools and proposed OpenMP extensions, as well as applications in various domains, e.g., scientific computation, video games, computer graphics, multimedia, information retrieval, optimization, text processing, data mining, finance, signal and image processing, and numerical solvers. |
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A Whole New World: The Gospel According to Revelation $0.99 ForewordNot many years after my conversion I determined to master the book of Revelation! I thought to myself that the best way to comprehend this mysterious book was to remain unsullied by all the publications and bizarre ideas then in vogue. If I approached Revelation with a blank mind and read it through at several sittings, then its truths would begin to dawn.I would develop an understanding pristine and virgin pure. So, I read it repeatedly, thinking that repetition would lead me to enlightenment. But after my plan was completed, I found myself just as frustrated as before. My real need was twofold: A Christ-centered teacher and an interpretive tool to help excavate some of the gold ore from this mine of kingdom-truth. The tool did not have to be a multi-million dollar mining-apparatus—just an inexpensive pick-axe that would serve the purpose of picking up some placer gold, thank you. In this little volume, A Whole New World, independent scholar Mr. Greg Uttinger provides the tool necessary for wondering, intimidated or blank-minded Christians who think that the Revelation is limited to Greek scholars or those waiting until their octogenarian years before devoting themselves to its study. Although far more than a mere grid, Mr. Uttinger’s book provides a framework by which we can read the entirety of the Revelation with profit. For example, an understanding of the events, metaphors and symbols of the Old Testament are key interpretive tools. A person untaught in the Old Testament and unaware of even a few important chapters in the New Testament (i.e., Matthew 24, Mark 13, Luke 21, etc.) will struggle mightily. However, by using the grid this book provides, the interpreter’s understanding will be greatly enhanced. The reason is that the grid is derived from the book of Revelation itself and not from any outside interpretive model or prejudice. George Santayana once said that brevity is “almost a condition of being inspired.” |
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Access 2010 For Dummies $24.99 Organize and use your data to create snappy-looking reports that put your genius on displayAccess 2010 provides plenty of tools for building a database. You’ll also need a bit of help to create a database that delivers the reports that drive business decisions. That’s why you need this book. It covers the latest Access features and tools and explains how they assist in organizing and mining data to get the information and reports you need.Get down to basic training — find out about the new features and tools in Access 2010 as you navigate and master the Access workspaceSet the table — create relationships between tables, customize the way data is stored in tables, and control how data is enteredDive into data — discover smart ways to share your Access data online or with other programs and bring data from applications into AccessFind the answers — learn how to sort, filter, and query your data to get at the information in your databaseSpice up your reports — use timesaving tools that let you create customized, professional reports with easeMake it all better — tune up your database for better performance and create a user interface to control what people seeOpen the book and find:How to open a table, insert records, and name fieldsTechniques for importing, exporting, and editing dataTIps for sharing your databaseWays to find, filter, and sort dataHow to get the answers to your database queriesSecrets for designing cool reportsSteps for using Analyzer toolsHow to create and test a Navigation formLearn to:Navigate the Access interface andunderstand database architectureBuild tables to organize data and forms for easy data entryShare data and create forms and reportsUse the power of queries to find and maintain your data |
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Adaptive Business Intelligence $34.58 New – In the modern information era, managers must recognize the competitive opportunities represented by decision-support tools. Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address the fundamental questions: What is likely to happen in the future? And what is the best course of action? Adaptive Business Intelligence includes elements of data mining, predictive modeling, f |
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Adaptive Business Intelligence $50.98 New – In the modern information era, managers must recognize the competitive opportunities represented by decision-support tools. Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address the fundamental questions: What is likely to happen in the future? And what is the best course of action? Adaptive Business Intelligence includes elements of data mining, predictive modeling, f |
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Adaptive Business Intelligence $34.81 Used – In the modern information era, managers must recognize the competitive opportunities represented by decision-support tools. Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address the fundamental questions: What is likely to happen in the future? And what is the best course of action? Adaptive Business Intelligence includes elements of data mining, predictive modeling, |
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Adaptive Business Intelligence $50.59 Used – In the modern information era, managers must recognize the competitive opportunities represented by decision-support tools. Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address the fundamental questions: What is likely to happen in the future? And what is the best course of action? Adaptive Business Intelligence includes elements of data mining, predictive modeling, |
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Adult Gold Digger Costume $51.1 This mining hottie is digging for a billionaire! Gold Digger Costume – Adult Costume includes Dress, Miners Hat, Dollar Necklace and Plastic Tools. |
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Advanced Analysis of Gene Expression Microarray Data $200.62 This book focuses on the development and application of the latest advanced data mining, machine learning, and visualization techniques for the identification of interesting, significant, and novel patterns in gene expression microarray data.Biomedical researchers will find this book invaluable for learning the cutting-edge methods for analyzing gene expression microarray data. Specifically, the coverage includes the following state-of-the-art methods: – Gene-based analysis: the latest novel clustering algorithms to identify co-expressed genes and coherent patterns in gene expression microarray data sets- Sample-based analysis: supervised and unsupervised methods for the reduction of the gene dimensionality to select significant genes. A series of approaches to disease classification and discovery are also described- Pattern-based analysis: methods for ascertaining the relationship between (subsets of) genes and (subsets of) samples. Various novel pattern-based clustering algorithms to find the coherent patterns embedded in the sub-attribute spaces are discussed- Visualization tools: various methods for gene expression data visualization. The visualization process is intended to transform the gene expression data set from high-dimensional space into a more easily understood two- or three-dimensional space. |
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Advanced Methods for Knowledge Discovery from Complex Data $129 Advanced Methods for Knowledge Discovery from Complex Data brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery, where the information is mined from complex data, such as unstructured text from the world-wide web, databases naturally represented as graphs and trees, geoscientific data from satellites and visual images, multimedia data and bioinformatics data.An overview of the field, looking at the issues and challenges involved is followed by coverage of recent trends in data mining, including descriptions of some currently popular tools like genetic algorithms, neural networks and case-based reasoning. This provides the context for the subsequent chapters on methods and applications. Part I is devoted to the foundations of mining different types of complex data like trees, graphs, links and sequences. A knowledge discovery approach based on problem decomposition is also described. Part II presents important applications of advanced mining techniques to data in unconventional and complex domains, such as life sciences, world-wide web, image databases, cyber security and sensor networks.With a good balance of introductory material on the knowledge discovery process, advanced issues and state-of-the-art tools and techniques, as well as recent working applications this book provides a representative selection of the available methods and their evaluation in real domains. It will be useful to students at Masters and PhD level in Computer Science, as well as practitioners in the field. A website supports the book: http://www.cse.uta.edu/amkdcd. |
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Advanced Methods for Knowledge Discovery from Complex Data $110.9 This book brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery.An overview of the field, looking at the issues and challenges involved is followed by coverage of recent trends in data mining. This provides the context for the subsequent chapters on methods and applications. Part I is devoted to the foundations of mining different types of complex data like trees, graphs, links and sequences. A knowledge discovery approach based on problem decomposition is also described. Part II presents important applications of advanced mining techniques to data in unconventional and complex domains, such as life sciences, world-wide web, image databases, cyber security and sensor networks.With a good balance of introductory material on the knowledge discovery process, advanced issues and state-of-the-art tools and techniques, this book will be useful to students at Masters and PhD level in Computer Science, as well as practitioners in the field. |
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Advanced Methods for Knowledge Discovery from Complex Data $129 Advanced Methods for Knowledge Discovery from Complex Data brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery, where the information is mined from complex data, such as unstructured text from the world-wide web, databases naturally represented as graphs and trees, geoscientific data from satellites and visual images, multimedia data and bioinformatics data.An overview of the field, looking at the issues and challenges involved is followed by coverage of recent trends in data mining, including descriptions of some currently popular tools like genetic algorithms, neural networks and case-based reasoning. This provides the context for the subsequent chapters on methods and applications. Part I is devoted to the foundations of mining different types of complex data like trees, graphs, links and sequences. A knowledge discovery approach based on problem decomposition is also described. Part II presents important applications of advanced mining techniques to data in unconventional and complex domains, such as life sciences, world-wide web, image databases, cyber security and sensor networks.With a good balance of introductory material on the knowledge discovery process, advanced issues and state-of-the-art tools and techniques, as well as recent working applications this book provides a representative selection of the available methods and their evaluation in real domains. It will be useful to students at Masters and PhD level in Computer Science, as well as practitioners in the field. A website supports the book: http://www.cse.uta.edu/amkdcd. |
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Advanced Techniques in Knowledge Discovery and Data Mining $66.3 Used – This book presents research on some of the most recent advances in data mining and knowledge discovery, providing theory as well as its applications on practical real world applications. The methodologies discussed encompass tools like Bayesian networks, and major facets of computational intelligence paradigms. Contributions from top class researchers include: – Recent trends in data mining and knowledge discovery – Advanced data mining techniques in semi-conductor manufacturing – Cluster |
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Advanced Techniques in Knowledge Discovery and Data Mining $99.96 Used – This book presents research on some of the most recent advances in data mining and knowledge discovery, providing theory as well as its applications on practical real world applications. The methodologies discussed encompass tools like Bayesian networks, and major facets of computational intelligence paradigms. Contributions from top class researchers include: – Recent trends in data mining and knowledge discovery – Advanced data mining techniques in semi-conductor manufacturing – Cluster |
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Advanced Techniques in Knowledge Discovery and Data Mining $99.96 New – This book presents research on some of the most recent advances in data mining and knowledge discovery, providing theory as well as its applications on practical real world applications. The methodologies discussed encompass tools like Bayesian networks, and major facets of computational intelligence paradigms. Contributions from top class researchers include: Recent trends in data mining and knowledge discovery Advanced data mining techniques in semi-conductor manufacturing Clustering and |
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Advanced Techniques in Knowledge Discovery and Data Mining $66.9 New – This book presents research on some of the most recent advances in data mining and knowledge discovery, providing theory as well as its applications on practical real world applications. The methodologies discussed encompass tools like Bayesian networks, and major facets of computational intelligence paradigms. Contributions from top class researchers include: Recent trends in data mining and knowledge discovery Advanced data mining techniques in semi-conductor manufacturing Clustering and |
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Advances in Inductive Logic Programming $40.99 Used – Inductive Logic Programming is a research area situated in machine learning and logic programming, two subfields of artificial intelligence. The goal of inductive logic programming is to develop theories, techniques and tools for inducing hypotheses from observations using the representations from computational logic. Inductive Logic Programming has a high potential for applications in data mining, automated scientific discovery, knowledge discovery in databases, as well as automatic prog |
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Advances in Inductive Logic Programming $76.01 Used – Inductive Logic Programming is a research area situated in machine learning and logic programming, two subfields of artificial intelligence. The goal of inductive logic programming is to develop theories, techniques and tools for inducing hypotheses from observations using the representations from computational logic. Inductive Logic Programming has a high potential for applications in data mining, automated scientific discovery, knowledge discovery in databases, as well as automatic prog |
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Advances in Intelligent Data Analysis VIII $78.92 This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Data Analysis, IDA 2009, held in Lyon, France, August 31 – September 2, 2009. The 33 revised papers, 18 full oral presentations and 15 poster and short oral presentations, presented were carefully reviewed and selected from almost 80 submissions. All current aspects of this interdisciplinary field are addressed; for example interactive tools to guide and support data analysis in complex scenarios, increasing availability of automatically collected data, tools that intelligently support and assist human analysts, how to control clustering results and isotonic classification trees. In general the areas covered include statistics, machine learning, data mining, classification and pattern recognition, clustering, applications, modeling, and interactive dynamic data visualization. |
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Advances in Intelligent Data Analysis VIII: 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 – September 2, 2009, Proceedings $64.2 This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Data Analysis, IDA 2009, held in Lyon, France, August 31 – September 2, 2009.The 33 revised papers, 18 full oral presentations and 15 poster and short oral presentations, presented were carefully reviewed and selected from almost 80 submissions. All current aspects of this interdisciplinary field are addressed; for example interactive tools to guide and support data analysis in complex scenarios, increasing availability of automatically collected data, tools that intelligently support and assist human analysts, how to control clustering results and isotonic classification trees. In general the areas covered include statistics, machine learning, data mining, classification and pattern recognition, clustering, applications, modeling, and interactive dynamic data visualization. |
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Advances in Machine Learning and Data Mining for Astronomy $103.17 This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by researchers in the international astronomy community. It explores this new problem domain, discussing how it could lead to the development of entirely new algorithms. Leading contributors introduce data mining methods and then describe how the methods can be implemented into astronomy applications. The last section of the book discusses the Redshift Prediction Competition, which is an astronomy competition in the style of the Netflix Prize. |
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Advances in Machine Learning and Data Mining for Astronomy $60.96 Used – “This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by researchers in the international astronomy community. It explores this new problem domain, discussing how it could lead to the development of entirely new algorithms. Leading contributors introduce data mining methods and then describe how the methods can be implemented into astronomy applications. The last section of the book discusses the Redshift Prediction Compe |
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Advances in Machine Learning and Data Mining for Astronomy $60.96 New – “This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by researchers in the international astronomy community. It explores this new problem domain, discussing how it could lead to the development of entirely new algorithms. Leading contributors introduce data mining methods and then describe how the methods can be implemented into astronomy applications. The last section of the book discusses the Redshift Prediction Compet |
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Advances in Machine Learning and Data Mining for Astronomy $90.47 Used – “This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by researchers in the international astronomy community. It explores this new problem domain, discussing how it could lead to the development of entirely new algorithms. Leading contributors introduce data mining methods and then describe how the methods can be implemented into astronomy applications. The last section of the book discusses the Redshift Prediction Compe |
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Advances in Machine Learning and Data Mining for Astronomy $90.47 New – “This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by researchers in the international astronomy community. It explores this new problem domain, discussing how it could lead to the development of entirely new algorithms. Leading contributors introduce data mining methods and then describe how the methods can be implemented into astronomy applications. The last section of the book discusses the Redshift Prediction Compet |
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Advances in Social Science Research Using R $89.95 This book covers recent advances for quantitative researchers with practical examples from social sciences. The twelve chapters written by distinguished authors cover a wide range of issues—all providing practical tools using the free R software. McCullough: R can be used for reliable statistical computing, whereas most statistical and econometric software cannot. This is illustrated by the effect of abortion on crime.Koenker: Additive models provide a clever compromise between parametric and non-parametric components illustrated by risk factors for Indian malnutrition. Gelman: R graphics in the context of voter participation in US elections. Vinod: New solutions to the old problem of efficient estimation despite auorrelation and heteroscedasticity among regression errors are proposed and illustrated by the Phillips curve tradeoff between inflation and unemployment. Markus and Gu: New R tools for exploratory data analysis including bubble plots.Vinod, Hsu and Tian: New R tools for portfolio selection borrowed from computer scientists and data-mining experts; relevant to anyone with an investment portfolio.Foster and Kecojevic: Extends the usual analysis of covariance (ANCOVA) illustrated by growth charts for Saudi children. Imai, Keele, Tingley, and Yamamoto: New R tools for solving the age-old scientific problem of assessing the direction and strength of causation. Their job search illustration is of interest during current times of high unemployment. Haupt, Schnurbus, and Tschernig: Consider the choice of functional form for an unknown, potentially nonlinear relationship, explaining a set of new R tools for model visualization and validation. Rindskopf: R methods to fit a multinomial based multivariate analysis of variance (ANOVA) with examples from psychology, sociology, political science, and medicine. Neath: R tools for Bayesian posterior distributions to study |
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Advances in database technology EDBT ‘96 5th International Conference on Extending Database Technology, Avignon, France, March 25- 29, 1996 proceedings $66.74 New – This book presents the refereed proceedings of the Fifth International Conference on Extending Database Technology, EDBT’96, held in Avignon, France in March 1996. The 31 full revised papers included were selected from a total of 178 submissions; also included are some industrial-track papers, contributed by partners of several ESPRIT projects. The volume is organized in topical sections on data mining, active databases, design tools, advanced DBMS, optimization, warehousing, system issues |
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Advances in database technology EDBT ‘96 5th International Conference on Extending Database Technology, Avignon, France, March 25- 29, 1996 proceedings $108.53 New – This book presents the refereed proceedings of the Fifth International Conference on Extending Database Technology, EDBT’96, held in Avignon, France in March 1996. The 31 full revised papers included were selected from a total of 178 submissions; also included are some industrial-track papers, contributed by partners of several ESPRIT projects. The volume is organized in topical sections on data mining, active databases, design tools, advanced DBMS, optimization, warehousing, system issues |
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Advances of Computational Intelligence in Industrial Systems $166.89 Computational Intelligence (CI) has emerged as a rapid growing field over the past decade. Its various techniques have been recognized as powerful tools for intelligent information processing, decision making and knowledge management.Advances of Computational Intelligence in Industrial Systems reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Section I – Theory and Foundation presents some of the latest developments in CI, e.g. particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. Section II – Industrial Application covers the CI applications in a wide variety of domains, e.g. clinical decision support, process monitoring for industrial CNC machine, novelty detection for jet engines, ant algorithm for berth allocation, etc.Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems. |
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Advances of Computational Intelligence in Industrial Systems $239 Computational Intelligence (CI) has emerged as a rapid growing field over the past decade. Its various techniques have been recognized as powerful tools for intelligent information processing, decision making and knowledge management.Advances of Computational Intelligence in Industrial Systems reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Section I – Theory and Foundation presents some of the latest developments in CI, e.g. particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. Section II – Industrial Application covers the CI applications in a wide variety of domains, e.g. clinical decision support, process monitoring for industrial CNC machine, novelty detection for jet engines, ant algorithm for berth allocation, etc.Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems. |
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Agent Intelligence Through Data Mining $1.58 Used – This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases. |
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Agent Intelligence Through Data Mining $111.14 Used – This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases. |
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Agent Intelligence Through Data Mining $134.99 New – This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases. |
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Agent Intelligence Through Data Mining $139 AGENT INTELLIGENCE THROUGH DATA MINING offers a self-contained overview of a relatively young but important area of research: the intersection of agent technology and data mining. This intersection leads to considerable advancements in the area of information technologies, drawing the increasing attention of both research and industrial communities. It can take two forms: a) the more mundane use of intelligent agents for improved data mining and; b) the use of data mining for smarter, more efficient agents. The second approach is the main focus of this volume.Knowledge, routinely created and maintained by today’s applications, is hidden in voluminous data repositories that can be extracted by data mining. The next step is to transform this discovered knowledge into the inference mechanisms or simply the behavior of agents and multi-agent systems. AGENT INTELLIGENCE THROUGH DATA MINING addresses this issue, as well as the arguable challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, this book presents a methodology for developing multi-agent systems, describes available open-source tools to support this process, and demonstrates the application of the methodology on three different cases.AGENT INTELLIGENCE THROUGH DATA MINING is designed for a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science. |
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Agent Intelligence Through Data Mining $120.68 Used – This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases. |
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Agent Intelligence Through Data Mining $111.14 New – This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases. |
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Agent Intelligence Through Data Mining $166.8 Used – This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases. |
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Agent Intelligence Through Data Mining $5.09 Used – This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases. |
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Agent Intelligence Through Data Mining $5.86 AGENT INTELLIGENCE THROUGH DATA MINING offers a self-contained overview of a relatively young but important area of research: the intersection of agent technology and data mining. This intersection leads to considerable advancements in the area of information technologies, drawing the increasing attention of both research and industrial communities. It can take two forms: a) the more mundane use of intelligent agents for improved data mining and; b) the use of data mining for smarter, more efficient agents. The second approach is the main focus of this volume.Knowledge, routinely created and maintained by today’s applications, is hidden in voluminous data repositories that can be extracted by data mining. The next step is to transform this discovered knowledge into the inference mechanisms or simply the behavior of agents and multi-agent systems. AGENT INTELLIGENCE THROUGH DATA MINING addresses this issue, as well as the arguable challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, this book presents a methodology for developing multi-agent systems, describes available open-source tools to support this process, and demonstrates the application of the methodology on three different cases.AGENT INTELLIGENCE THROUGH DATA MINING is designed for a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science. |
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Agent Intelligence Through Data Mining $184.02 Used – This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases. |
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Agent-Based Computing $153.56 Multi-agent systems (MAS) often deal with complex applications that require distributed problem solving. In many applications, the individual and collective behavior of the agents depends on the observed data from distributed sources. This book discusses a number of research issues concerned with the use of Multi-Agent Systems for Data Mining (MADM), also known as agent-driven data mining. In addition, optimization algorithms are very important in modern research and industrial areas. This book examines one multi-population co-genetic algorithm (MPAGA) with double chain-like agent structure to realize parallel optimization, combining chain-like agent structure and multi-population parallel searching. Furthermore, this book proposes an efficient modular artificial neural network (ANN) architecture for the intelligent decision making of a robot in a robot soccer systems with different team configurations. Other chapters review the use of radio frequency identification (RFID) technology with supply chain agents and then analyze the security requirements, describe how to design and implement a large-scale multi-agent simulation software, and provide a framework of evacuation simulation for urban hazards such as flooding with effective agent’s interaction tools with other agents and the physical environment. |
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All That Glitters: The Men and Women of the Gold and Silver Rushes $2.74 New – Firsthand accounts describe life in the mining campsl for men and women, tools of the trade, recreation, and the system of law and order in the mining towns. |
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All That Glitters: The Men and Women of the Gold and Silver Rushes $5.41 New – Firsthand accounts describe life in the mining campsl for men and women, tools of the trade, recreation, and the system of law and order in the mining towns. |
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Alternative Propulsion Engines: Electric Motor, Stirling Engine, Compressed-Air Engine $11.83 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: Electric Motor, Stirling Engine, Compressed-Air Engine, Minto Wheel. Excerpt: The Victor Tatin airplane of 1879 used a compressed-air engine for propulsion. Original craft, at Musée de l’Air et de l’Espace . The first mechanically-powered submarine , the 1863 Plongeur , used a compressed-air engine. Musée de la Marine (Rochefort) . A compressed-air engine is a pneumatic actuator that creates useful work by expanding compressed air . They have existed in many forms over the past two centuries, ranging in size from hand held turbines up to several hundred horsepower. Some types rely on pistons and cylinders, others use turbines. Many compressed air engines improve their performance by heating the incoming air, or the engine itself. Some took this a stage further and burned fuel in the cylinder or turbine, forming a type of internal combustion engine . Tools Impact wrenches , drills, firearms , die grinders , dental drills and other pneumatic tools use a variety of air engines or motors. These include vane type pumps, turbines and pistons. Torpedoes Most successful early forms of self propelled torpedoes used high pressure compressed air , although this was superseded by internal or external combustion engines, steam engines, or electric motors. Railways Pneumatic Locomotive with attached pressure container used during the construction of the Gotthard Rail Tunnel 1872-1880. A compressed air locomotive by H. K. Porter, Inc. , in use at the Homestake Mine , South Dakota, between 1928 and 1961 Compressed air engines were used in trams and shunters, and eventually found a successful niche in mining locomotives, although eventually they were replaced by electric trains, underground. Over the years designs increased in complexity, resulting in a triple expansion |
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An Application of Data Mining Techniques in Data Warehousing $65.94 New – Traditionally, analysts have performed the task of extracting useful information from recorded data, but the increasing volume of data in modern business and science calls for computer-based approaches. As data sets have grown in size and complexity, there has been a shift away from direct hands-on data analysis toward indirect, automatic data analysis using more complex and sophisticated tools. The modern technologies of computers, networks, and sensors have made data collection and organ |
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An Application of Data Mining Techniques in Data Warehousing $43.71 New – Traditionally, analysts have performed the task of extracting useful information from recorded data, but the increasing volume of data in modern business and science calls for computer-based approaches. As data sets have grown in size and complexity, there has been a shift away from direct hands-on data analysis toward indirect, automatic data analysis using more complex and sophisticated tools. The modern technologies of computers, networks, and sensors have made data collection and organ |
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An Application of Data Mining Techniques in Data Warehousing $43.71 Used – Traditionally, analysts have performed the task of extracting useful information from recorded data, but the increasing volume of data in modern business and science calls for computer-based approaches. As data sets have grown in size and complexity, there has been a shift away from direct hands-on data analysis toward indirect, automatic data analysis using more complex and sophisticated tools. The modern technologies of computers, networks, and sensors have made data collection and orga |
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An Application of Data Mining Techniques in Data Warehousing $65.94 Used – Traditionally, analysts have performed the task of extracting useful information from recorded data, but the increasing volume of data in modern business and science calls for computer-based approaches. As data sets have grown in size and complexity, there has been a shift away from direct hands-on data analysis toward indirect, automatic data analysis using more complex and sophisticated tools. The modern technologies of computers, networks, and sensors have made data collection and orga |
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An Introduction to Search Engines and Web Navigation $83.95 An authoritative, easy-to-follow primer on the underlying computational tools of Web search and navigationSearch and navigation technologies are central to the smooth operation of the Web, and have changed the way we seek out and interact with information. Understanding the computational basis of these technologies and the models underlying them is of paramount importance to both computing students and practitioners.This Second Edition contains up-to-date, unrivalled coverage, bridging the gap between technically based and sociologically oriented Web books. It demystifies the tools that we use when interacting with the Web, as well as models different aspects of the Web that can help us understand how it is evolving—and how it is being, and can be, effectively used.The first part of the book covers the historical background of hypertext, the Web, and search engines and introduces the problems of search and navigation, discussing the potential of machine learning to improve search and navigation tools and proposing Markov chains as a model for user navigation. The second part explains the architectural and technical aspects of search engines. Described here are the search engine wars, the architecture of a search engine and details of how the Web is crawled, a search engine’s ranking algorithm, and different ways of evaluating search engines. Then, different types of search engines are explored, including Web directories, search engine advertising, metasearch engines, personalization of search, question-answering engines, image search, and special purpose engines. The final part concentrates on Web navigation, the mobile Web, and social network technologies in the context of search and navigation. Discussed are a range of navigation tools and metrics; Web data mining and visualization of Web navigation; the issues present in real-world navigation; the delivery of mobile Web services and the problems of search and navigation in a |
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An Introduction to Search Engines and Web Navigation $83.95 An authoritative, easy-to-follow primer on the underlying computational tools of Web search and navigationSearch and navigation technologies are central to the smooth operation of the Web, and have changed the way we seek out and interact with information. Understanding the computational basis of these technologies and the models underlying them is of paramount importance to both computing students and practitioners.This Second Edition contains up-to-date, unrivalled coverage, bridging the gap between technically based and sociologically oriented Web books. It demystifies the tools that we use when interacting with the Web, as well as models different aspects of the Web that can help us understand how it is evolving—and how it is being, and can be, effectively used.The first part of the book covers the historical background of hypertext, the Web, and search engines and introduces the problems of search and navigation, discussing the potential of machine learning to improve search and navigation tools and proposing Markov chains as a model for user navigation. The second part explains the architectural and technical aspects of search engines. Described here are the search engine wars, the architecture of a search engine and details of how the Web is crawled, a search engine’s ranking algorithm, and different ways of evaluating search engines. Then, different types of search engines are explored, including Web directories, search engine advertising, metasearch engines, personalization of search, question-answering engines, image search, and special purpose engines. The final part concentrates on Web navigation, the mobile Web, and social network technologies in the context of search and navigation. Discussed are a range of navigation tools and metrics; Web data mining and visualization of Web navigation; the issues present in real-world navigation; the delivery of mobile Web services and the problems of search and navigation in a |
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An Inventory of GIS-Based Decision Support Tools for Mpas $16.97 New – OCLC Number: (OCoLC)57134933 Subject: Geographic information systems. Excerpt: …ANNOTATED BIBLIOGRAPHY This section of the inventory is an annotated bibliog-A GIS recipe for deter-Ardron, Jeff. raphy covering the more technical aspects of marine mining benthic complexity: An related decision support tools. Entries in this section indicator of species richness. provide references and summaries to documents on Draft # 8. In Press, Marine Geography, 2002. subjects such as the development of |
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An Inventory of GIS-Based Decision Support Tools for Mpas $10.78 Used – OCLC Number: (OCoLC)57134933 Subject: Geographic information systems. Excerpt: …ANNOTATED BIBLIOGRAPHY This section of the inventory is an annotated bibliog-A GIS recipe for deter-Ardron, Jeff. raphy covering the more technical aspects of marine mining benthic complexity: An related decision support tools. Entries in this section indicator of species richness. provide references and summaries to documents on Draft # 8. In Press, Marine Geography, 2002. subjects such as the development o |
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An Inventory of GIS-Based Decision Support Tools for Mpas $10.78 New – OCLC Number: (OCoLC)57134933 Subject: Geographic information systems. Excerpt: …ANNOTATED BIBLIOGRAPHY This section of the inventory is an annotated bibliog-A GIS recipe for deter-Ardron, Jeff. raphy covering the more technical aspects of marine mining benthic complexity: An related decision support tools. Entries in this section indicator of species richness. provide references and summaries to documents on Draft # 8. In Press, Marine Geography, 2002. subjects such as the development of |
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An Inventory of GIS-Based Decision Support Tools for Mpas $16.97 Used – OCLC Number: (OCoLC)57134933 Subject: Geographic information systems. Excerpt: …ANNOTATED BIBLIOGRAPHY This section of the inventory is an annotated bibliog-A GIS recipe for deter-Ardron, Jeff. raphy covering the more technical aspects of marine mining benthic complexity: An related decision support tools. Entries in this section indicator of species richness. provide references and summaries to documents on Draft # 8. In Press, Marine Geography, 2002. subjects such as the development o |
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Analytical Tools for DNA, Genes and Genomes: Nuts & Bolts $44.95 An exhaustive guide to the handling, interpretation, and application of information contained in the sequence of DNA, this resource is an essential tool for academic, industrial, and private researchers in the field of life sciences. Information on applying DNA sequence information in genetics, using DNA sequence analysis and recognition software for DNA structural elements, and predicting and modeling higher order DNA structures is provided along with links to relevant web sites and an explanation of their corresponding interfaces. Chapters are formatted as frequently asked questions regarding structure, function, regulation, and the evolution of coding and non-coding DNA sequences, and reflects previously probed and published strategies for data mining and interpretation. |
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Analyzing Interactions in CSCL: Methods, Approaches and Issues $189 Analyzing Collaborative Interactions in CSCL Methods, Approaches, and IssuesSadhana Puntambekar, Gijsbert Erkens, and Cindy Hmelo-Silver, editorsIn more than two decades of research in CSCL (Computer-Supported Collaborative Learning), researchers have used several methods to understand how individuals learn in groups and how groups of learners construct knowledge. The individual and group learning processes have been studied using a variety of methods.Analyzing Collaborative Interactions in CSCL reveals the wide range of this research: qualitative and quantitative methods, studies of the learning process as well as outcomes, and the measurement of group and individual members’ learning. Focusing on three major research areas—group processes, learning within groups, and frameworks for analyzing CSCL—leading scholars present models, methods, and tools that readers can adapt to fit their own projects. Basic research issues such as defining the unit of analysis, determining the grain size of the data, and representing the temporality of interactions are discussed in the context of these methods addressing issues such as:• Studying group cognition through the lens of social order.• Using visualization methods to assess group members’ individual progress.• Analyzing collaborative interactions with data mining methods.• Assessing student project groups online and offline.• Using multilevel analysis in text-based communication.• Analyzing collaborative interactions across settings and domains. Together, the chapters in Analyzing Collaborative Interactions in CSCL model a range of methods for CSCL researchers in education, education technology, and cognitive science. |
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Ancient Technology $17 Since ancient times, technological advances have increased man’s chances for survival. From the practicality of a Roman aqueduct to the art of the written word, man has always adapted his environment to meet his needs, and to provide himself with sustenance, comfort, leisure, a higher quality of living, and a thriving culture. This concise reference source takes a closer look at six technological events that significantly impacted the evolution of civilization, from the Palaeolithic age to the height of the Roman Empire. As he touches on the common elements of ancient technology-energy, machines, mining, metallurgy, ceramics, agriculture, engineering, transportation, and communication-Humphrey asks questions central to understanding the impact of ancient tools on the modern world: What prompts change? What cultural traditions inhibit change? What effect do these changes have on their societies and civilization? Humphrey explores technologies as both physical tools and as extensions of the human body, beginning with the invention of the Greek alphabet and including such accomplishments as early Neolithic plant cultivation, the invention of coinage, the building of the Parthenon, and Rome’s urban water system. Detailed line drawings of tools and machines make ancient mechanics more easily accessible. Primary documents, glossary, biographies, and a timeline dating from the Palaeolithic age to the Roman Empire round out the work, making this an ideal reference source for understanding the tools of the ancient world. |
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Applied Data Mining $75 Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. 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 such knowledge from data. Applications occur in many different fields, including statistics, computer science, machine learning, economics, marketing and finance.This book is the first to describe applied data mining methods in a consistent statistical framework, and then show how they can be applied in practice. All the methods described are either computational, or of a statistical modelling nature. Complex probabilistic models and mathematical tools are not used, so the book is accessible to a wide audience of students and industry professionals. The second half of the book consists of nine case studies, taken from the author’s own work in industry, that demonstrate how the methods described can be applied to real problems.Provides a solid introduction to applied data mining methods in a consistent statistical frameworkIncludes coverage of classical, multivariate and Bayesian statistical methodologyIncludes many recent developments such as web mining, sequential Bayesian analysis and memory based reasoningEach statistical method described is illustrated with real life applicationsFeatures a number of detailed case studies based on applied projects within industryIncorporates discussion on software used in data mining, with particular emphasis on SASSupported by a website featuring datasets, software and additional materialIncludes an extensive bibliography and pointers to further reading within the textAuthor has many years experience teaching introductory and multivariate statistics and data mining, and working on applied projects within industryA valuable |
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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. |
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Applied Data Mining for Business and Industry $123.02 New – 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 |
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Applied Data Mining for Business and Industry $30.72 New – 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 |
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Applied Data Mining for Business and Industry $78.04 New – 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 |
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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. |
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Applied Data Mining for Business and Industry $50.31 New – 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 |
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Applied Data Mining for Business and Industry $78.04 Used – 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 i |
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Applied Data Mining for Business and Industry $123.02 Used – 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 i |
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Applied Data Mining: Statistical Methods for Business and Industry $25 New – Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. 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 such knowledge from data. Applications occur in many different fields, including statistics, computer science, machine learning, e |
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Applied Data Mining: Statistical Methods for Business and Industry $37.5 Used – Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. 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 such knowledge from data. Applications occur in many different fields, including statistics, computer science, machine learning, |
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Applied Data Mining: Statistical Methods for Business and Industry $20.37 New – Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. 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 such knowledge from data. Applications occur in many different fields, including statistics, computer science, machine learning, e |
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Applied Data Mining: Statistical Methods for Business and Industry $37.5 New – Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. 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 such knowledge from data. Applications occur in many different fields, including statistics, computer science, machine learning, e |
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Applied Data Mining: Statistical Methods for Business and Industry $30 Used – Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. 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 such knowledge from data. Applications occur in many different fields, including statistics, computer science, machine learning, |
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Applied Data Mining: Statistical Methods for Business and Industry $18.99 Used – Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. 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 such knowledge from data. Applications occur in many different fields, including statistics, computer science, machine learning, |
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Applied Data Mining: Statistical Methods for Business and Industry $23.46 New – Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. 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 such knowledge from data. Applications occur in many different fields, including statistics, computer science, machine learning, e |
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