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Titlebook: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing; 11th International C Aijun An,Jerzy Stefanowski,Guoyin Wang Conference proceedi

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书目名称Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
副标题11th International C
编辑Aijun An,Jerzy Stefanowski,Guoyin Wang
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; 11th International C Aijun An,Jerzy Stefanowski,Guoyin Wang Conference proceedi
描述This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14–16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzis law Pawlak. Roughsettheoryhasbecomeanintegralpartofdiversehybridresearchstreams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, kno- edgetechnologyanddiscovery,softandgranularcomputing,dataprocessingand mining, while maintaining an emphasis on foundations and applications. RSFDGrC 2007 followed in the footsteps of well-established international initiatives devoted to the dissemination of rough sets research, held so far in Canada, China, Japan, Poland, Sweden, and the USA. RSFDGrC was ?rst - ganized as the 7th In
出版日期Conference proceedings 2007
关键词Fuzzy; algoriithmic learning; algorithms; cognition; data mining; data model; evolutionary computing; exper
版次1
doihttps://doi.org/10.1007/978-3-540-72530-5
isbn_softcover978-3-540-72529-9
isbn_ebook978-3-540-72530-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/r/image/831927.jpg
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https://doi.org/10.1007/978-3-540-72530-5Fuzzy; algoriithmic learning; algorithms; cognition; data mining; data model; evolutionary computing; exper
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Branimir Šešelja,Andreja Tepavčevićand increasingly precise measurements of the cosmic abundance of total matter and of its baryonic component (e.g., from the cosmic microwave background, big bang nucleosynthesis and large-scale structure) have converged on the picture that ∼ 85 % of the matter in the universe cannot be explained by
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Aslı Çelikyılmaz,I. Burhan Türkşenand increasingly precise measurements of the cosmic abundance of total matter and of its baryonic component (e.g., from the cosmic microwave background, big bang nucleosynthesis and large-scale structure) have converged on the picture that ∼ 85 % of the matter in the universe cannot be explained by
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