Data mining techniques for marketing, sales, and customer relationship management

✍ Scribed by Michael J. A. Berry, Gordon S. Linoff

Publisher: *Wiley Computer Publishing
Year: 2004
Tongue: English
Leaves: 672
Edition: 2
Category: Library

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✦ Synopsis

Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems
Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support
The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining
More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining
Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

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<strong>3nd revised and extended Edition</strong>. — Wiley 2011<br/>The leading introductory book on Data Mining, fully updated and revised! <br/>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 t