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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I

  • Dominik Ślęzak
  • Guoyin Wang
  • Marcin Szczuka
  • Ivo Düntsch
  • Yiyu Yao
Conference proceedings RSFDGrC 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3641)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3641)

Table of contents

  1. Front Matter
  2. Invited Papers

  3. Rough Set Approximations

    1. Andrzej Skowron, Roman Swiniarski
      Pages 33-42
    2. Ming-Wen Shao, Wen-Xiu Zhang
      Pages 43-53
    3. Krzysztof Dembczyński, Salvatore Greco, Roman Słowiński
      Pages 54-63
    4. A. A. Allam, M. Y. Bakeir, E. A. Abo-Tabl
      Pages 64-73
    5. Jian-Jun Qi, Ling Wei, Zeng-Zhi Li
      Pages 74-83
  4. Rough-Algebraic Foundations

    1. Peter John Apostoli, Akira Kanda
      Pages 94-103
    2. Duoqian Miao, Suqing Han, Daoguo Li, Lijun Sun
      Pages 104-113
    3. Piotr Wasilewski
      Pages 114-123
    4. Gui-Long Liu
      Pages 124-131
    5. Michiro Kondo
      Pages 132-140
  5. Feature Selection and Reduction

    1. Mikhail Ju. Moshkov, Marcin Piliszczuk
      Pages 149-155
    2. Suqing Han, Jue Wang
      Pages 156-165
    3. Jakub Wróblewski
      Pages 166-175
    4. Gaelle Legrand, Nicolas Nicoloyannis
      Pages 176-184
    5. Feng Hu, Guoyin Wang, Hai Huang, Yu Wu
      Pages 185-193
    6. Richard Jensen, Qiang Shen, Andrew Tuson
      Pages 194-203
    7. JingTao Yao, Ming Zhang
      Pages 204-213
    8. Jianchao Han, Ricardo Sanchez, Xiaohua Hu
      Pages 214-223
  6. Reasoning in Information Systems

    1. Zbigniew Suraj, Krzysztof Pancerz, Grzegorz Owsiany
      Pages 224-233
    2. Mineichi Kudo, Tetsuya Murai
      Pages 234-243
    3. R. S. Milton, V. Uma Maheswari, Arul Siromoney
      Pages 265-274
    4. Theresa Beaubouef, Frederick E. Petry, Roy Ladner
      Pages 275-282
  7. Rough-Probabilistic Approaches

    1. Wojciech Ziarko
      Pages 283-293
    2. Tatsuo Nishino, Mitsuo Nagamachi, Hideo Tanaka
      Pages 294-303
    3. Masahiro Inuiguchi, Takuya Miyajima
      Pages 304-313
    4. Salvatore Greco, Benedetto Matarazzo, Roman Słowiński
      Pages 314-324
    5. Michinori Nakata, Hiroshi Sakai
      Pages 325-334
    6. Cory J. Butz, Wen Yan, Boting Yang
      Pages 335-344
  8. Rough-Fuzzy Hybridization

    1. Alicja Mieszkowicz-Rolka, Leszek Rolka
      Pages 354-363
    2. Tian Hong, Zhao Pixi, Wang Xiukun
      Pages 364-372
    3. Van-Nam Huynh, Tetsuya Murai, Tu-Bao Ho, Yoshiteru Nakamori
      Pages 373-382
    4. Hongbo Guo, Fang Wang, Yuxia Qiu
      Pages 392-401
  9. Fuzzy Methods in Data Analysis

    1. Jie Li, Xinbo Gao, Licheng Jiao
      Pages 412-420
    2. Andres Dorado, Witold Pedrycz, Ebroul Izquierdo
      Pages 421-430
  10. Evolutionary Computing

    1. Gang Xie, Hongbo Guo, Keming Xie, Wenjing Zhao
      Pages 431-440
    2. Xiangyang Wang, Jie Yang, Ningsong Peng, Xiaolong Teng
      Pages 451-460
    3. Gaowei Yan, Gang Xie, Yuxia Qiu, Zehua Chen
      Pages 461-470
  11. Machine Learning

    1. Shusaku Tsumoto, Shoji Hirano
      Pages 471-480

Other volumes

  1. Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
    10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I
  2. 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part II

About these proceedings

Introduction

This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

Keywords

artificial intelligence cognition data mining evolution evolutionary computation fuzzy information system learning machine learning multimedia probabilistic network uncertain reasoning

Editors and affiliations

  • Dominik Ślęzak
    • 1
  • Guoyin Wang
    • 2
  • Marcin Szczuka
    • 3
  • Ivo Düntsch
    • 4
  • Yiyu Yao
    • 5
  1. 1.Department of Computer Science, University of Regina, Regina, SK, S4S 0A2 Canada, Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008 Warsaw, P.O. BoxPoland
  2. 2.School of Information Science and TechnologySouthwest Jiaotong UniversityChengduP.R. China
  3. 3.Institute of MathematicsWarsaw UniversityWarsawPoland
  4. 4.Department of Computer ScienceBrock UniversityCanada
  5. 5.Department of Computer ScienceUniversity of ReginaReginaCanada

Bibliographic information

  • DOI https://doi.org/10.1007/11548669
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-28653-0
  • Online ISBN 978-3-540-31825-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site