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Books > Computing & IT > Applications of computing > Artificial intelligence
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Data Mining Methods for Knowledge Discovery (Paperback, Softcover reprint of the original 1st ed. 1998)
Loot Price: R4,556
Discovery Miles 45 560
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Data Mining Methods for Knowledge Discovery (Paperback, Softcover reprint of the original 1st ed. 1998)
Series: The Springer International Series in Engineering and Computer Science, 458
Expected to ship within 10 - 15 working days
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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.
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