New Directions in Rough Sets, Data Mining, and Granular-Soft Computing

7th International Workshop, RSFDGrC’99, Yamaguchi, Japan, November 9-11, 1999. Proceedings

  • Ning Zhong
  • Andrzej Skowron
  • Setsuo Ohsuga
Conference proceedings RSFDGrC 1999

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1711)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1711)

Table of contents

  1. Front Matter
  2. Invited Talks

  3. Rough Computing: Foundations and Applications

  4. Rough Set Theory and Its Applications

    1. Jerzy Stefanowski, Alexis Tsoukiàs
      Pages 73-81
    2. Y. Y. Yao, Tao Wang
      Pages 82-90
    3. Jamil Saquer, Jitender S. Deogun
      Pages 91-99
    4. Alexios Chouchoulas, Qiang Shen
      Pages 118-127
    5. Pabitra Mitra, Sushmita Mitra, Sankar K. Pal
      Pages 128-136
    6. Hung Son Nguyen, Dominik Ślęzak
      Pages 137-145
    7. Salvatore Greco, Benedetto Matarazzo, Roman Słowinski
      Pages 146-157

About these proceedings

Keywords

agents data mining fuzzy knowledge knowledge discovery learning logic machine learning set theory

Editors and affiliations

  • Ning Zhong
    • 1
  • Andrzej Skowron
    • 2
  • Setsuo Ohsuga
    • 3
  1. 1.The International WIC InstituteBeijing University of TechnologyChina
  2. 2.Institute of MathematicsWarsaw UniversityWarsawPoland
  3. 3.Professor EmeritusUniversity of Tokyo 

Bibliographic information

  • DOI https://doi.org/10.1007/b72293
  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66645-5
  • Online ISBN 978-3-540-48061-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book