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Rough Sets and Knowledge Technology - Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings (Paperback, 2007 ed.) Loot Price: R1,847
Discovery Miles 18 470
Rough Sets and Knowledge Technology - Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings...

Rough Sets and Knowledge Technology - Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings (Paperback, 2007 ed.)

JingTao Yao, Pawan Lingras, Wei-Zhi Wu, Marcin Szczuka, Nick Cercone, Dominik Slezak

Series: Lecture Notes in Computer Science, 4481

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Loot Price R1,847 Discovery Miles 18 470 | Repayment Terms: R173 pm x 12*

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This book constitutes the refereed proceedings of the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, held in Toronto, Canada in May 2007 in conjunction with the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, both as part of the Joint Rough Set Symposium, JRS 2007.

The 67 revised full papers papers presented together with 3 invited papers were carefully reviewed and selected from a total of 319 general submissions to the JRS 2007 symposium. The papers are organized in topical sections on rough set foundations, multiple criteria decision analysis, biometrics, kansei engineering, autonomy-oriented computing, soft computing in bioinformatics, ubiquitous computing and networking, rough set algorithms, knowledge representation and reasoning, genetic algorithms, and rough set applications.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Computer Science, 4481
Release date: April 2007
First published: 2007
Editors: JingTao Yao • Pawan Lingras • Wei-Zhi Wu • Marcin Szczuka • Nick Cercone • Dominik Slezak
Dimensions: 235 x 155 x 33mm (L x W x T)
Format: Paperback
Pages: 578
Edition: 2007 ed.
ISBN-13: 978-3-540-72457-5
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-540-72457-5
Barcode: 9783540724575

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