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Incomplete Information System and Rough Set Theory - Models and Attribute Reductions (Hardcover, 2012) Loot Price: R2,666
Discovery Miles 26 660
Incomplete Information System and Rough Set Theory - Models and Attribute Reductions (Hardcover, 2012): Xibei Yang, Jingyu Yang

Incomplete Information System and Rough Set Theory - Models and Attribute Reductions (Hardcover, 2012)

Xibei Yang, Jingyu Yang

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Loot Price R2,666 Discovery Miles 26 660 | Repayment Terms: R250 pm x 12*

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"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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Release date: May 2012
First published: 2012
Authors: Xibei Yang • Jingyu Yang
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Hardcover
Pages: 232
Edition: 2012
ISBN-13: 978-3-642-25934-0
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-25934-0
Barcode: 9783642259340

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