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Data Mining Methods for Knowledge Discovery (The Springer International Series in...
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by Krzysztof J. Cios, W. Pedrycz, and Roman W. Swiniarski
Sales Rank: 2274960
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List Price: $215.00
$215.00
At Amazon
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Hardcover: 520 pages
Publisher: Springer; 1st edition August 31, 1998
Language: English
ISBN-10: 0792382528
ISBN-13: 978-0792382522
Product Dimensions:
9 x 7 x 1.1 inches
Shipping Weight: 1.8 pounds
Product 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.
Customer Reviews & Comments
Cover different methods for Data Mining. They include: Rough set, fuzzy set, Genetic Alg, Neural Net, Clustering .... You will find this text useful if you are new to Data Mining. Do not expect further details in each fields. In general, it was a great text for a data mining course at graduate level.
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Data Mining Methods for Knowledge Discovery (The Springer International Series in...
List Price: $215.00
Available from Amazon
Price: $215.00
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