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Data Mining Methods for Knowledge Discovery
Cios, Krzysztof J.; Pedrycz, Witold; Swiniarski, Roman W.
€ 196.27
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Description for Data Mining Methods for Knowledge Discovery
Paperback. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 495 pages, biography. BIC Classification: PB; UYQ; UYT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 26. Weight in Grams: 789.
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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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.
... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. 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
New York, NY, United States
ISBN
9781461375579
SKU
V9781461375579
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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