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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II (Paperback, 2005 ed.)
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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II (Paperback, 2005 ed.)
Series: Lecture Notes in Artificial Intelligence, 3642
Expected to ship within 18 - 22 working days
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This volume contains the papers selected for presentation at the
10th Int- national Conference on Rough Sets, Fuzzy Sets, Data
Mining, and Granular Computing, RSFDGrC 2005, organized at the
University of Regina, August 31st-September 3rd, 2005. This
conference followed in the footsteps of inter- tional events
devoted to the subject of rough sets, held so far in Canada, China,
Japan, Poland, Sweden, and the USA. RSFDGrC achievedthe status of
biennial international conference, starting from 2003 in Chongqing,
China. The theory of rough sets, proposed by Zdzis law Pawlak in
1982, is a model of approximate reasoning. The main idea is based
on indiscernibility relations that describe indistinguishability of
objects. Concepts are represented by - proximations. In
applications, rough set methodology focuses on approximate
representation of knowledge derivable from data. It leads to
signi?cant results in many areas such as ?nance, industry,
multimedia, and medicine. The RSFDGrC conferences put an emphasis
on connections between rough sets and fuzzy sets,
granularcomputing, and knowledge discoveryand data m- ing, both at
the level of theoretical foundations and real-life applications. In
the case of this event, additional e?ort was made to establish a
linkage towards a broader range of applications. We achieved it by
including in the conference program the workshops on
bioinformatics, security engineering, and embedded systems, as well
as tutorials and sessions related to other application area
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