Data Mining Methods for Knowledge Discovery by Krzysztof J. Cios

Data Mining Methods for Knowledge Discovery

Krzysztof J. Cios and Roman Swiniarski
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Details

  • ISBN
    9780792382522 / 0792382528
  • Title Data Mining Methods for Knowledge Discovery
  • Author Krzysztof J. Cios and Roman Swiniarski
  • Category Databases
  • Format
    Hardcover
  • Year 1998
  • Pages 495
  • Publisher
    Springer
  • Imprint Kluwer Academic Publishers
  • Language English
  • Dimensions 179mm x 29mm x 229mm

Annotation

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.

Publisher Description

This volume provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. The 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. It then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Illustrative examples and experimental findings are also included.

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Data Mining Methods for Knowledge Discovery

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