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Data Mining and Knowledge Discovery Handbook

Editors: Maimon, Oded, Rokach, Lior (Eds.)

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  • ISBN 978-0-387-25465-4
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About this book

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository.

This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security.

Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Table of contents (46 chapters)

  • Introduction to Knowledge Discovery in Databases

    Oded Maimon, Lior Rokach

    Pages 1-17

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  • Data Cleansing

    Jonathan I. Maletic, Andrian Marcus

    Pages 21-36

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  • Dimension Reduction and Feature Selection

    Barak Chizi, Oded Maimon

    Pages 93-111

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  • Discretization Methods

    Ying Yang, Geoffrey I. Webb, Xindong Wu

    Pages 113-130

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  • Outlier Detection

    Irad Ben-Gal

    Pages 131-146

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Buy this book

eBook n/a
  • ISBN 978-0-387-25465-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices

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Bibliographic Information

Bibliographic Information
Book Title
Data Mining and Knowledge Discovery Handbook
Editors
  • Oded Maimon
  • Lior Rokach
Copyright
2005
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-25465-4
DOI
10.1007/b107408
Edition Number
1
Number of Pages
XXXVI, 1383
Number of Illustrations and Tables
400 b/w illustrations
Topics