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Data Mining Methods for Knowledge Discovery
by Cios, Krzysztof J, and Pedrycz, Witold, and Swiniarski, Roman W

Overview -
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.

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Hard cover
$232.99

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Alibris
Sparks, NV, USA

Data Mining Methods for Knowledge Discovery (the Springer International Series in Engineering and Computer Science) (Hardcover)
Pub. Date: 1998-08-31
Publisher: Springer
Price: $6.00
Seller: Owls Books, Toledo, OH, USA
Description: All pages and cover are intact. Possible slightly loose binding, minor highlighting and marginalia, cocked spine or torn dust jacket. Maybe an ex-library copy and not include the accompanying CDs, access codes or other supplemental materials.
Condition: Good
Data Mining Methods for Knowledge Discovery (Hard cover)
Pub. Date: 1998
Publisher: Kluwer Academic Publishers
Price: $16.27
Seller: Anybook Ltd., Lincoln, GBR
Description: This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In good all round condition. No dust jacket., 900grams, ISBN: 9780792382522.
 
 
 
 

More About Data Mining Methods for Knowledge Discovery by Cios, Krzysztof J, and Pedrycz, Witold, and Swiniarski, Roman W
 
 
 
Overview

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.

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Details
  • PID: 10104430389
  • ISBN-13: 9780792382522
  • Publisher: Springer
  • Seller: Alibris
    Condition: New.
    Notes: Sewn binding. Cloth over boards. 495 p. Contains: Illustrations, black & white. Kluwer International Series in Engineering & Computer Science, 458.