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Rough Sets and Current Trends in Computing: 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012.Proceedings 2012 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 498 pages, kõrgus x laius: 235x155 mm, kaal: 759 g, 101 Illustrations, black and white; 498 p. 101 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 7413
  • Ilmumisaeg: 03-Jul-2012
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642321143
  • ISBN-13: 9783642321146
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  • Formaat: Paperback / softback, 498 pages, kõrgus x laius: 235x155 mm, kaal: 759 g, 101 Illustrations, black and white; 498 p. 101 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 7413
  • Ilmumisaeg: 03-Jul-2012
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642321143
  • ISBN-13: 9783642321146
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.

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.

Sushmita Mitra, PHD, is an associate professor at Machine Intelligence Unit, Indian Statistical Institute, in Calcutta.
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.