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The Springer International Series in Engineering and Computer Science

Data Mining Methods for Knowledge Discovery

Authors: Cios, Krzysztof J., Pedrycz, Witold, Swiniarski, Roman W.

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eBook $179.00
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  • ISBN 978-1-4615-5589-6
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Hardcover $229.00
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  • ISBN 978-0-7923-8252-2
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Softcover $229.00
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  • ISBN 978-1-4613-7557-9
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About this book

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography.
Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.

Table of contents (9 chapters)

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-1-4615-5589-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.00
price for USA
  • ISBN 978-0-7923-8252-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-1-4613-7557-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining Methods for Knowledge Discovery
Authors
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
458
Copyright
1998
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-5589-6
DOI
10.1007/978-1-4615-5589-6
Hardcover ISBN
978-0-7923-8252-2
Softcover ISBN
978-1-4613-7557-9
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XXI, 495
Topics