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Rough Sets and Knowledge Technology - Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008, Proceedings (Paperback, 2008 ed.)
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Rough Sets and Knowledge Technology - Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008, Proceedings (Paperback, 2008 ed.)
Series: Lecture Notes in Artificial Intelligence, 5009
Expected to ship within 10 - 15 working days
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This volume contains the papers selected for presentation at the
Third Inter- tional Conference on Rough Sets and Knowledge
Technology (RSKT 2008) held in Chengdu, P. R. China, May 16-19,
2008. The RSKT conferences were initiated in 2006 in Chongqing, P.
R. China. RSKT 2007 was held in Toronto, Canada, together with
RSFDGrC 2007, as JRS 2007. The RSKT conferences aim to present
state-of-the-art scienti?c - sults, encourage academic and
industrial interaction, and promote collaborative research in rough
sets and knowledge technology worldwide. They place emphasis on
exploring synergies between rough sets and knowledge discovery,
knowledge management, data mining, granular and soft computing as
well as emerging application areas such as bioinformatics,
cognitive informatics, and Web intel- gence, both at the level of
theoretical foundations and real-life applications. RSKT 2008
focused on ?ve major research ?elds: computing theory and
paradigms, knowledge technology, intelligent information
processing, intelligent control, and applications. This was
achieved by including in the conference program sessions on rough
and soft computing, rough mereology with app- cations,
dominance-based rough set approach, fuzzy-rough hybridization, gr-
ular computing, logical and mathematical foundations, formal
concept analysis, data mining, machine learning, intelligent
information processing, bioinform- ics and cognitive informatics,
Web intelligence, pattern recognition, and real-life applications
of knowledge technology. A very strict quality control policy was
adopted in the paper review process of RSKT 2008. Firstly, the PC
Chairs - viewed all submissions.
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