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Cios, Krzysztof J.; Pedrycz, W.; Swiniarski, Roman W. - Data Mining Methods for Knowledge Discovery - 9780792382522 - V9780792382522
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Data Mining Methods for Knowledge Discovery

€ 194.89
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Description for Data Mining Methods for Knowledge Discovery Hardback. Provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book elaborates on the fundamentals of each of the data mining methods. It discusses these methods in the setting of the overall process of knowledge discovery. It is intended for senior undergraduate and graduate students. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 495 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 241 x 164 x 34. Weight in Grams: 896.
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.
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Product Details

Format
Hardback
Publication date
1998
Publisher
Kluwer Academic Publishers United States
Number of pages
495
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
495
Place of Publication
Dordrecht, Netherlands
ISBN
9780792382522
SKU
V9780792382522
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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