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Data Mining Methods for Knowledge Discovery
by Cios, Krzysztof J.

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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Data Mining Methods for Knowledge Discovery (Trade paperback)
Pub. Date: 2012
Publisher: Springer
Price: $232.99
Seller: Alibris, Sparks, NV, USA
Condition: New.
Notes: Trade paperback (US). Glued binding. 495 p. Contains: Illustrations, black & white. Springer International Series in Engineering and Computer Sc, 458.
Data Mining Methods for Knowledge Discovery (Trade paperback)
Pub. Date: 2012
Publisher: Springer
Price: $252.33
Seller: Ria Christie Books, Uxbridge, MIDDLESEX, GBR
Condition: New.
Notes: Trade paperback (US). Glued binding. 495 p. Contains: Illustrations, black & white. The Springer International Engineering and Computer Science, 458.
 
 
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    Data Mining Methods for Knowledge Discovery (PF)
    Pub. Date: 2012-10
    Publisher: Springer
    Condition: New
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    Data Mining Methods for Knowledge Discovery (Softcover)
    Pub. Date: 10/26/2012 12: 00: 00 AM
    Publisher: Springer
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More About Data Mining Methods for Knowledge Discovery by Cios, Krzysztof J.
 
 
 
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: 14830976094
  • ISBN-13: 9781461375579
  • Publisher: Springer
  • Seller: Awesomebooks_Newbooks
    Condition: New
    Notes: BRAND NEW BOOK! Shipped within 24-48 hours. Normal delivery time is 5-12 days. Please note some orders may be shipped from UK with same delivery timeframe, ***NO EXPEDITED ORDERS***