Rough Sets and Current Trends in Computing [electronic resource] : 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012.Proceedings / edited by JingTao Yao, Yan Yang, Roman Slowiński, Salvatore Greco, Huaxiong Li, Sushmita Mitra, Lech Polkowski.
Contributor(s): Yao, JingTao [editor.] | Yang, Yan [editor.] | Slowiński, Roman [editor.] | Greco, Salvatore [editor.] | Li, Huaxiong [editor.] | Mitra, Sushmita [editor.] | Polkowski, Lech [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 7413Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Edition: 1st ed. 2012.Description: 498 p. 101 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642321153.Subject(s): Artificial intelligence | Data mining | Machine theory | Numerical analysis | Application software | Information storage and retrieval systems | Artificial Intelligence | Data Mining and Knowledge Discovery | Formal Languages and Automata Theory | Numerical Analysis | Computer and Information Systems Applications | Information Storage and RetrievalAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access onlineTopical 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.
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.
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