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Rough Sets and Current Trends in Computing - 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012.Proceedings (Paperback, 2012 ed.) Loot Price: R1,621
Discovery Miles 16 210
Rough Sets and Current Trends in Computing - 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20,...

Rough Sets and Current Trends in Computing - 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012.Proceedings (Paperback, 2012 ed.)

JingTao Yao, Yan Yang, Roman Slowinski, Salvatore Greco, Huaxiong Li, Sushmita Mitra, Lech Polkowski

Series: Lecture Notes in Artificial Intelligence, 7413

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Loot Price R1,621 Discovery Miles 16 210 | Repayment Terms: R152 pm x 12*

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This book constitutes the refereed proceedings of the 8th International Conference on Rough Sets and Current Trends in Computing, RSCTC, held in Chengdu, China, in August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 55 revised full papers presented together with one keynote paper were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets and its applications; current trends in computing; decision-theoretic rough set model and applications; formal concept analysis and granular computing; mining complex data with granular computing; data mining competition.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Artificial Intelligence, 7413
Release date: July 2012
First published: 2012
Editors: JingTao Yao • Yan Yang • Roman Slowinski • Salvatore Greco • Huaxiong Li • Sushmita Mitra • Lech Polkowski
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Paperback
Pages: 498
Edition: 2012 ed.
ISBN-13: 978-3-642-32114-6
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: 3-642-32114-3
Barcode: 9783642321146

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