Rough Sets and Knowledge Technology Second International Conference,
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Subseries of Lecture Notes in Computer Science
4481
JingTao Yao Pawan Lingras Wei-Zhi Wu Marcin Szczuka ´ ezak (Eds.) Nick J. Cercone Dominik Sl¸
Rough Sets and Knowledge Technology Second International Conference, RSKT 2007 Toronto, Canada, May 14-16, 2007 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors JingTao Yao University of Regina, Regina, Saskatchewan, Canada E-mail: [email protected] Pawan Lingras Saint Mary’s University, Halifax, Nova Scotia, Canada E-mail: [email protected] Wei-Zhi Wu Zhejiang Ocean University, Zhejiang, P.R. China E-mail: [email protected] Marcin Szczuka Warsaw University, Warsaw, Poland E-mail: [email protected] Nick J. Cercone York University, Toronto, Ontario, Canada E-mail: [email protected] ´ ezak Dominik Sl¸ Infobright Inc., Toronto, Ontario, Canada E-mail: [email protected] Library of Congress Control Number: 2007925941 CR Subject Classification (1998): I.2, H.2.4, H.3, F.4.1, F.1, I.5, H.4 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-72457-5 Springer Berlin Heidelberg New York 978-3-540-72457-5 Springer Berlin Heidelberg New York
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Preface
This volume contains the papers selected for presentation at the International Conference on Rough Sets and Knowledge Technology (RSKT 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the first time during May 14–16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSKT and the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzislaw Pawlak. Rough set theory has become an integral part of diverse hybrid research streams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, knowledge technology and discovery, soft and granular computing, data processing and mining, while maintaining an em
