Rough Sets and Current Trends in Computing

6th International Conference, RSCTC 2008 Akron, OH, USA, October 23-25, 2008 Proceedings

  • Chien-Chung Chan
  • Jerzy W. Grzymala-Busse
  • Wojciech P. Ziarko
Conference proceedings RSCTC 2008

DOI: 10.1007/978-3-540-88425-5

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5306)

Table of contents (54 papers)

  1. Front Matter
  2. Keynote Papers

    1. Research Directions in the KES Centre
      Lakhmi Jain, Jeffrey Tweedale
      Pages 13-20
  3. Logical and Mathematical Foundations

    1. On Irreducible Descriptive Sets of Attributes for Information Systems
      Mikhail Moshkov, Andrzej Skowron, Zbigniew Suraj
      Pages 21-30
    2. Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces
      Salvatore Greco, Benedetto Matarazzo, Roman Słowiński
      Pages 31-40
    3. Paraconsistent Logic Programs with Four-Valued Rough Sets
      Jan Małuszyński, Andrzej Szałas, Aida Vitória
      Pages 41-51
    4. An Equivalent Definition of Rough Sets
      Guilong Liu, James Kuodo Huang
      Pages 52-60
    5. A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model
      Y. Zhao, S. K. M. Wong, Y. Y. Yao
      Pages 61-70
    6. On Rough Equalities and Rough Equivalences of Sets
      Bala Krushna Tripathy, Anirban Mitra, Jaladhar Ojha
      Pages 92-102
  4. Data Analysis

  5. Data Mining

    1. Inducing Better Rule Sets by Adding Missing Attribute Values
      Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse
      Pages 160-169
    2. Action Rules Discovery without Pre-existing Classification Rules
      Zbigniew W. Raś, Agnieszka Dardzińska
      Pages 181-190

About these proceedings


This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2008, held in Akron, OH, USA, in October 2008.

The 49 revised full papers presented together with 2 keynote papers and 3 special session papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on logical and mathematical foundations, data analysis, data mining, decision support systems, clustering, pattern recognition and image processing, as well as bioinformatics. The three special session papers cover topics such as rough sets in data warehousing, classification challenges in email archiving, and approximation theories: granular computing vs. rough sets.


Cluster Clustering bioinformatics classification cognition data analysis data mining decision support system image processing pattern recognition

Editors and affiliations

  • Chien-Chung Chan
    • 1
  • Jerzy W. Grzymala-Busse
    • 2
  • Wojciech P. Ziarko
    • 3
  1. 1.Department of Computer ScienceThe University of AkronAkronUSA
  2. 2.Department of Electrical Engineering and Computer ScienceUniversity of KansasLawrenceUSA
  3. 3.Department of Computer ScienceUniversity of Regina,ReginaCanada

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-88423-1
  • Online ISBN 978-3-540-88425-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349