Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Mining Methods for Knowledge Discovery

Data Mining Methods for Knowledge Discovery

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

Paperback

Series: The Springer International Engineering and Computer Science, Book 458

General ComputersGeneral Mathematics

ISBN10: 1461375576
ISBN13: 9781461375579
Publisher: Springer
Published: Oct 26 2012
Pages: 495
Weight: 1.59
Height: 1.05 Width: 6.14 Depth: 9.21
Language: English
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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General Computers

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