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"This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining - including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you're involved at any level in the work of extracting usable knowledge from large collections of data, this…

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Editions

6 editions
  • Paperback · English · 1999
    Morgan Kaufmann · 416 pages · 9781558605527
  • Other · English · 2025
    Elsevier Science & Technology · 9780443158889
  • Other · English · 2016
    Elsevier Science & Technology Books · 654 pages · 9780128043578
  • Other · English · 2011
    Elsevier Science & Technology Books · 664 pages · 9780080890364
  • Other · English · 2005
    Elsevier Science & Technology Books · 9780080477022
  • Other · English · 1999
    Elsevier Science & Technology Books · 9780080503653
Data miningJava (Computer program language)Artificial intelligenceData capture & analysisDatabases & data structuresDisaster RecoveryData Modeling & DesignDatabase Engineering