Data Mining Methods for Knowledge Discovery

Name: Data Mining Methods for Knowledge Discovery
SKU: 21280914
Price: 456.00 NZD
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Format:

Paperback / softback

Series:

The Springer International Series in Engineering and Computer Science

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Description

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.

Release date NZ

October 26th, 2012

Author

Audience

Professional & Vocational

Edition

Softcover reprint of the original 1st ed. 1998

Illustrations

XXI, 495 p.

Pages

495

Series

The Springer International Series in Engineering and Computer Science

Dimensions

156x234x26

ISBN-13

9781461375579

Product ID

21280914

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