Incomplete Information System and Rough Set Theory

Incomplete Information System and Rough Set Theory

EnglishHardbackPrint on demand
Yang Xibei
Springer, Berlin
EAN: 9783642259340
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Detailed information

"Incomplete Information System and Rough Set Theory: Models and Attribute Reductions" covers theoretical study of generalizations of rough set model in various incomplete information systems. It discusses not only the regular attributes but also the criteria in the incomplete information systems. Based on different types of rough set models, the book presents the practical approaches to compute several reducts in terms of these models. The book is intended for researchers and postgraduate students in machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, and granular computing.

Dr. Xibei Yang is a lecturer at the School of Computer Science and Engineering, Jiangsu University of Science and Technology, China; Jingyu Yang is a professor at the School of Computer Science, Nanjing University of Science and Technology, China.

EAN 9783642259340
ISBN 3642259340
Binding Hardback
Publisher Springer, Berlin
Publication date May 7, 2012
Pages 232
Language English
Dimensions 235 x 155
Country Germany
Readership Professional & Scholarly
Authors Yang Jingyu; Yang Xibei
Illustrations XIV, 232 p.
Manufacturer information
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