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Rough Set Methods and Applications - New Developments in Knowledge Discovery in Information Systems (Paperback, Softcover reprint of the original 1st ed. 2000) Loot Price: R1,586
Discovery Miles 15 860
Rough Set Methods and Applications - New Developments in Knowledge Discovery in Information Systems (Paperback, Softcover...

Rough Set Methods and Applications - New Developments in Knowledge Discovery in Information Systems (Paperback, Softcover reprint of the original 1st ed. 2000)

Lech Polkowski, Shusaku Tsumoto, Tsau Y Lin

Series: Studies in Fuzziness and Soft Computing, 56

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Loot Price R1,586 Discovery Miles 15 860 | Repayment Terms: R149 pm x 12*

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Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.

General

Imprint: Physica Verlag,Wien
Country of origin: Austria
Series: Studies in Fuzziness and Soft Computing, 56
Release date: October 2012
First published: 2000
Editors: Lech Polkowski • Shusaku Tsumoto • Tsau Y Lin
Dimensions: 235 x 155 x 35mm (L x W x T)
Format: Paperback
Pages: 683
Edition: Softcover reprint of the original 1st ed. 2000
ISBN-13: 978-3-662-00376-3
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-662-00376-7
Barcode: 9783662003763

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