Principles of Data Mining

Description

This book explains the principal techniques of data mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given. This will benefit readers of all levels, from those who use data mining via commercial packages, right through to academic researchers. The book aims to help the general reader develop the necessary understanding to use commercial data mining packages, and to enable advanced readers to understand or contribute to future technical advances. Includes exercises and glossary.

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Other editions

• 

  Principles of Data Mining

  • 2020-05-21
  • 571 pages
  • Paperback
  • Springer
• 

  Principles of Data Mining

  • 2016-11-09
  • 526 pages
  • Ebook
  • Springer
• 

  Principles of Data Mining

  • 2001
  • 546 pages
  • Paperback
  • MIT Press

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