Transactions on Rough Sets III
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos New York University, NY, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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James F. Peters Andrzej Skowron (Eds.)
Transactions on Rough Sets III
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Volume Editors James F. Peters University of Manitoba Department of Electrical and Computer Engineering Winnipeg, Manitoba R3T 5V6, Canada E-mail: [email protected] Andrzej Skowron Warsaw University Institute of Mathematics Banacha 2, 02-097 Warsaw, Poland E-mail: [email protected]
Library of Congress Control Number: 2005925573 CR Subject Classification (1998): F.4.1, F.1, I.2, H.2.8, I.5.1, I.4 ISSN ISBN-10 ISBN-13
0302-9743 3-540-25998-8 Springer Berlin Heidelberg New York 978-3-540-25998-5 Springer Berlin Heidelberg New York
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Preface
Volume III of the Transactions on Rough Sets (TRS) introduces advances in the theory and application of rough sets. These advances have far-reaching implications in a number of research areas such as approximate reasoning, bioinformatics, computer science, data mining, engineering (especially, computer engineering and signal analysis), intelligent systems, knowledge discovery, pattern recognition, machine intelligence, and various forms of learning. This volume reveals the vigor, breadth and depth in research either directly or indirectly related to the rough sets theory introduced by Prof. Zdzislaw Pawlak more than three decades ago. Evidence of this can be found in the seminal paper on data mining by Prof. Pawlak included in this volume. In addit
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