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Roman W. Swiniarski has written 3 work(s)
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Data Mining Methods for Knowledge Discovery
cover image for 9781461375579
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...read more
By Roman W. Swiniarski
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Paperback:

9781461375579 | Reprint edition (Springer-Verlag New York Inc, October 26, 2012), cover price $229.00 | About this edition: Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery.

Transactions on Rough Sets X
By Marcin Wolski (editor)
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Paperback:

9783642032806 | Springer-Verlag New York Inc, September 1, 2009, cover price $99.00

Transactions On Rough Sets I
cover image for 9783540223740
Product Description: The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence...read more
By Jerzy W. Grzymala-Busse (editor), Bozena Kostek (editor), James F. Peters (editor), Andrzej Skowron (editor) and Roman W. Swiniarski (editor)
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Paperback:

9783540223740 | Springer Verlag, August 31, 2004, cover price $129.00 | About this edition: The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence.

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