Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3641)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): RSFDGrC: International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing
Conference proceedings info: RSFDGrC 2005.
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Table of contents (75 papers)
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Front Matter
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Rough Set Approximations
Other Volumes
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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
About this book
Editors and Affiliations
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Department of Computer Science, University of Regina, Regina, SK, S4S 0A2 Canada, Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008 Warsaw, P.O. Box, Poland
Dominik Ślęzak
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School of Information Science and Technology, Southwest Jiaotong University, Chengdu, P.R. China
Guoyin Wang
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Institute of Mathematics, Warsaw University, Warsaw, Poland
Marcin Szczuka
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Department of Computer Science, Brock University, Canada
Ivo Düntsch
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Department of Computer Science, University of Regina, Regina, Canada
Yiyu Yao
Bibliographic Information
Book Title: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
Book Subtitle: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I
Editors: Dominik Ślęzak, Guoyin Wang, Marcin Szczuka, Ivo Düntsch, Yiyu Yao
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/11548669
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Softcover ISBN: 978-3-540-28653-0Published: 22 August 2005
eBook ISBN: 978-3-540-31825-5Published: 19 September 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIV, 748
Topics: Artificial Intelligence, Information Storage and Retrieval, Database Management, Mathematical Logic and Formal Languages, Computation by Abstract Devices, Pattern Recognition