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Titlebook: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing; 10th International C Dominik Ślęzak,JingTao Yao,Xiaohua Hu Conference proceedi

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书目名称Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
副标题10th International C
编辑Dominik Ślęzak,JingTao Yao,Xiaohua Hu
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing; 10th International C Dominik Ślęzak,JingTao Yao,Xiaohua Hu Conference proceedi
描述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
出版日期Conference proceedings 2005
关键词artificial intelligence; cognition; data mining; evolution; evolutionary computation; fuzzy; information s
版次1
doihttps://doi.org/10.1007/11548706
isbn_softcover978-3-540-28660-8
isbn_ebook978-3-540-31824-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing10th International C
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