Rough Sets and Knowledge Technology

Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008. Proceedings

  • Editors
  • Guoyin Wang
  • Tianrui Li
  • Jerzy W. Grzymala-Busse
  • Duoqian Miao
  • Andrzej Skowron
  • Yiyu Yao

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5009)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5009)

Table of contents

  1. Front Matter
  2. Keynote Papers

  3. Tutorial Papers (Extended Abstracts)

  4. Rough and Soft Computing

    1. Piotr Blajdo, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Maksymilian Knap, Teresa Mroczek, Lukasz Piatek
      Pages 31-38
    2. Pawel Terlecki, Krzysztof Walczak
      Pages 39-46
    3. Huaxiong Li, Yiyu Yao, Xianzhong Zhou, Bing Huang
      Pages 47-54
    4. Paweł Delimata, Mikhail Moshkov, Andrzej Skowron, Zbigniew Suraj
      Pages 55-62
    5. Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang
      Pages 63-71
    6. Feng Hu, Guoyin Wang, Lin Feng
      Pages 72-79
    7. Qinghua Hu, Jinfu Liu, Daren Yu
      Pages 88-96
    8. Yangsheng Ji, Lin Shang, Xinyu Dai, Ruoce Ma
      Pages 97-105
    9. Aida Vitória, Andrzej Szałas, Jan Małuszyński
      Pages 106-114

About these proceedings

Introduction

This book constitutes the refereed proceedings of the Third International Conference on Rough Sets and Knowledge Technology, RSKT 2008, held in Chengdu, China, in May 2008.

The 91 revised full papers papers presented together with 3 keynote papers and 6 tutorial papers were carefully reviewed and selected from 184 submissions. They all focus on five major research fields: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. The papers are organized in topical sections on rough and soft computing, rough mereology with applications, dominance-based rough set approach, fuzzy-rough hybridization, granular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinformatics and cognitive informatics, web intelligence, pattern recognition, and real-life applications of knowledge technology.

Keywords

DOM Web Intelligence bioinformatics cognition data mining fuzzy intelligence knowledge learning machine learning pattern recognition

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-79721-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-79720-3
  • Online ISBN 978-3-540-79721-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book