Shusaku Tsumoto

Lech Polkowski

Peng Wen

Yuefeng Li

Yiyu Y. Yao

The Rough Sets and Knowledge Technology (RSKT) conferences serve as a - jor forum that brings researchers and industry practitioners together to discuss and deliberate on fundamental issues of knowledge processing and management and knowledge-intensive practical solutions in the current knowledge age. - perts from around the world meet annually to present state-of-the-art sci- ti?c results, to nurture academic and industrial interaction, and to promote collaborative research in rough sets and knowledge technology. The main theme of the RSKT conference is to explore the synergy between rough sets and - vanced knowledge technology and applications, including knowledge discovery, datamining,knowledgeprocessingandmanagement,granularcomputing,evo- tionary computing, biocomputing and bioinformatics, cognitive computing and cognitive informatics, natural and arti?cial intelligence, Web intelligence, c- plex systems, and many others. The ?rst RSKT conference was held in 2006 in Chongqing, P.R. China, f- lowed by RSKT 2007 in Toronto, Canada and RSKT 2008 in Chengdu, P.R. China. This volume contains the papers selected for presentation at the 4th - ternationalConferenceonRoughSetsandKnowledgeTechnology(RSKT2009), which was held during July 14-16 on the Gold Coast, Australia.

4th International Conference, RSKT 2009, Gold Coast, Australia, July 14-16, 2009, Proceedings

Rough Sets and Knowledge Technology

This book constitutes the refereed proceedings of the Fourth International Conference on Rough Sets and Knowledge Technology, RSKT 2009, held in Gold Coast, Australia, in July 2009. The 85 revised full papers papers presented together with 3 keynote papers and 2 special sessions were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on rough sets and computing, rough sets and data reduction, data mining and knowledge discovery, granular computing and cognitive computing, fuzzy sets and computing, knowledge technology and intelligent systems, computational intelligence and applications, image processing and understanding, and formal concept analysis.

Peng Wen

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