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Data mining techniques: for marketing sales and customer relationship management

By: Berry, Michael J. A.
Contributor(s): Linoff, Gordon S.
Publisher: New Delhi Wiley India Pvt. Ltd 2004Edition: 2nd ed.Description: xvi, 643 p.ISBN: 8126505176.Subject(s): Data mining | Marketing - Data processing | Business - Data processingDDC classification: 658.802 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 (Source: LOC Publisher4s Description)
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Slot 2166 (2 Floor, East Wing) 658.802 B3D2 (Browse shelf) Available 168135

Includes index.

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 (Source: LOC Publisher4s Description)

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