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 Słowiński, Salvatore Greco, Huaxiong Li, Sushmita Mitra, Lech Polkowski.
By: Yao, JingTao [editor.].
Contributor(s): Yang, Yan [editor.] | Słowiński, Roman [editor.] | Greco, Salvatore [editor.] | Li, Huaxiong [editor.] | Mitra, Sushmita [editor.] | Polkowski, Lech [editor.] | SpringerLink (Online service).
Material type:
BookSeries: Lecture Notes in Computer Science: 7413Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Description: Approx. 500 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642321153.Subject(s): Computer science | Electronic data processing | Data mining | Information storage and retrieval systems | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Mathematical Logic and Formal Languages | Numeric Computing | Information Systems Applications (incl. Internet) | Information Storage and RetrievalDDC classification: 006.3 Online resources: Click here to access online 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.
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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