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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management Paperback - 2004
by Michael J. Berry; Gordon S. Linoff
Summary
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
First line
Somerville, Massachusetts, home to one of the authors of this book, is also home to a woman from Cameroon who braids hair.
Details
- Title Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
- Author Michael J. Berry; Gordon S. Linoff
- Binding Paperback
- Edition International ed
- Pages 643
- Volumes 1
- Language ENG
- Publisher John Wiley & Sons, Somerset, New Jersey, U.S.A.
- Date April 9, 2004
- Illustrated Yes
- ISBN 9780471470649 / 0471470643
- Weight 2.17 lbs (0.98 kg)
- Dimensions 9.24 x 7.46 x 1.4 in (23.47 x 18.95 x 3.56 cm)
- Library of Congress subjects Data mining, Business - Data processing
- Library of Congress Catalog Number 2003026693
- Dewey Decimal Code 658.802
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Data Mining Techniques : For Marketing, Sales, and Customer Relationship Management
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Data Mining Techniques : For Marketing, Sales, and Customer Relationship Management
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