Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

12th International Conference, RSFDGrC 2009, Delhi, India, December 15-18, 2009. Proceedings

  • Hiroshi Sakai
  • Mihir Kumar Chakraborty
  • Aboul Ella Hassanien
  • Dominik Ślęzak
  • William Zhu

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5908)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5908)

Table of contents

  1. Front Matter
  2. Plenary Papers and Reports

    1. Ivo Düntsch, Günther Gediga, Adam Lenarcic
      Pages 1-11
    2. Zhongzhi Shi
      Pages 20-32
    3. Sergei O. Kuznetsov
      Pages 33-44
    4. Manish Joshi, Rabi N. Bhaumik, Pawan Lingras, Nitin Patil, Ambuja Salgaonkar, Dominik Ślęzak
      Pages 67-68
  3. Foundations of Rough Sets and Beyond

  4. Rough Set Algorithms and Applications

    1. P. S. V. S. Sai Prasad, C. Raghavendra Rao
      Pages 152-159
    2. Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
      Pages 160-167

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2009, held in Delhi, India in December 2009 in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI 2009. RSFDGrC 2009 is the core component of a broader Rough Set Year in India initiative, RSIndia09.

The 56 revised full papers presented together with 6 invited papers and a report on the Rough Set Year in India 2009 project were carefully reviewed and selected from a total of 130 submissions. The papers are organized in topical sections on foundations of rough sets and beyond; rought set algorithms and applications; fuzzy set foundations and applications; data mining and knowledge discovery; clustering and current trends in computing; and information retrieval and text mining.

Keywords

Clustering cognition data mining information retrieval knowledge knowledge discovery pattern recognition sets text mining

Editors and affiliations

  • Hiroshi Sakai
    • 1
  • Mihir Kumar Chakraborty
    • 2
  • Aboul Ella Hassanien
    • 3
  • Dominik Ślęzak
    • 4
  • William Zhu
    • 5
  1. 1.Department of Mathematics and Computer Aided SciencesKyushu Institute of TechnologyTobataJapan
  2. 2.Department of Pure MathematicsUniversity of CalcuttaKolkataIndia
  3. 3.Information Technology DepartmentUniversity of CairoGizaEgypt
  4. 4.University of Warsaw & Infobright Inc.Poland
  5. 5.University of Electronic Science and Technology of ChinaChengduChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-10646-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-10645-3
  • Online ISBN 978-3-642-10646-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book