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Data Mining Techniques

Data Mining Techniques

Data Mining Techniques
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Data Mining Techniques Paperback - 2004

by Gordon S. Linoff

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Wiley, John & Sons, Incorporated, 2004-04-09. paperback. Very Good. 7x1x9. Great used condition. A portion of your purchase of this book will be donated to non-profit organizations.Over 1,000,000 satisfied customers since 1997! Choose expedited shipping (if available) for much faster delivery. Delivery confirmation on all US orders.
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Details

  • Title Data Mining Techniques
  • Author Gordon S. Linoff
  • Binding Paperback
  • Edition International ed
  • Condition Used - Very good
  • Pages 643
  • Volumes 1
  • Language ENG
  • Publisher Wiley, John & Sons, Incorporated, Somerset, New Jersey, U.S.A.
  • Publication date 2004-04-09
  • Illustrated Yes
  • Bookseller's Inventory # 10829941
  • 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)
  • Size 7x1x9
  • Category Computers - Other Applications
  • Library of Congress subjects Data mining, Business - Data processing
  • Library of Congress Catalogue Number 2003026693
  • Dewey Decimal Code 658.802
  • Quantity available 1

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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

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From the publisher

  • 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.

About the author

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.

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