Data Mining Techniques: for Marketing, Sales and Customer Relationship Management

Data Mining Techniques: for Marketing, Sales and Customer Relationship Management

by Michael J . Berry (Author), Gordon S . Linoff (Author)

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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More Information

Format: Paperback
Pages: 672
Edition: 2nd Edition
Publisher: John Wiley & Sons
Published: 08 Apr 2004

ISBN 10: 0471470643
ISBN 13: 9780471470649

Author Bio
MICHAEL J. A. BERRY and GORDON S. LINOFF are the founders of Data Miners, Inc., a consultancy specializing in data mining. They have jointly authored some of the leading data mining titles in the field, Data Mining Techniques, Mastering Data Mining, and Mining the Web (all from Wiley). They each have more than a decade of experience applying data mining techniques to business problems in marketing and customer relationship management.