Data Mining Techniques, 2nd Edition
For Marketing, Sales, and Customer Relationship Management
By Michael J. Berry, Gordon S. Linoff
Publisher: Wiley
Final Release Date: April 2004
Pages: 660

The unparalleled author team of Berry and Linoff are back with aninvaluable revised edition to their groundbreaking text

The world of data mining has changed tremendously since thepublication of the first edition of Data Mining Techniques in 1997.For the most part, the underlying algorithms have remained thesame, but the software in which the algorithms are imbedded, thedatabases to which they are applied, and the business problems theyare used to solve have all grown and evolved. With that in mind,Michael Berry and Gordon Linoff–the leading authorities on theuse of data mining techniques for business applications–havewritten a new edition to show you how to harness fundamental datamining methods and techniques to solve common types of businessproblems.

Berry and Linoff’s years of hands-on data mining experienceis reflected in every chapter of this extensively updated andrevised edition. They discuss core data mining techniques,including decision trees, neural networks, collaborative filtering,association rules, link analysis, clustering, and survivalanalysis. In addition, they provide an overview of data mining bestpractices. Each chapter covers a new data mining technique and thenimmediately explains how to apply the technique for improvedmarketing, sales, and customer support. The authors build on theirreputation for concise, clear, and practical explanations ofcomplex concepts, making this book the perfect introduction to datamining for both business professionals and students.

With more than forty percent new and updated material, thissecond edition of Data Mining Techniques shows you how to:

  • Create stable and accurate predictive models
  • Prepare data for analysis
  • Create the necessary infrastructure for data mining at yourcompany

The companion Web site provides exercises for each chapter, plusdata that can be used to test out the various data miningtechniques in the book.

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