Data Mining Methods For Knowledge Discovery (The Springer International Series In Engineering And Computer Science)

Data Mining Methods For Knowledge Discovery (The Springer International Series In Engineering And Computer Science)

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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.
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.

    Author

    Krzysztof J. Cios

    Author

    Witold Pedrycz

    Author

    Roman W. Swiniarski

    Binding

    Paperback

    EAN

    9781461375579

    Edition

    Softcover reprint of the original 1st ed. 1998

    ISBN

    1461375576

    Label

    Springer

    Manufacturer

    Springer

    NumberOfPages

    495

    ProductGroup

    Book

    ProductTypeName

    ABIS_BOOK

    PublicationDate

    2012-10-26

    Publisher

    Springer

    ReleaseDate

    1998-08-31

    Studio

    Springer

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