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

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

  • Dominik Ślęzak
  • JingTao Yao
  • James F. Peters
  • Wojciech Ziarko
  • Xiaohua Hu
Conference proceedings RSFDGrC 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3642)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3642)

Table of contents

  1. Front Matter
  2. Invited Papers

  3. Rough Set Software

    1. Roman Podraza, Mariusz Walkiewicz, Andrzej Dominik
      Pages 29-38
    2. Jan G. Bazan, Rafał Latkowski, Marcin Szczuka
      Pages 39-47
    3. Robin Andersson, Aida Vitória, Jan Małuszyński, Jan Komorowski
      Pages 48-58
  4. Data Mining

    1. Anita Wasilewska, Ernestina Menasalvas
      Pages 59-68
    2. Feng Jiang, Yuefei Sui, Cungen Cao
      Pages 79-87
    3. Julia Johnson, Patrick Campeau
      Pages 88-97
  5. Hybrid and Hierarchical Methods

    1. Andrzej Skowron, Hui Wang, Arkadiusz Wojna, Jan Bazan
      Pages 119-127
    2. Yan Li, Simon Chi-Keung Shiu, Sankar Kumar Pal, James Nga-Kwok Liu
      Pages 128-137
    3. Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales-Bueno
      Pages 138-146
    4. Qing-Hua Hu, Da-Ren Yu, Ming-Yang Wang
      Pages 147-156
    5. Wen-Xiu Zhang, Ling Wei, Jian-Jun Qi
      Pages 157-165
    6. A. Guillén, I. Rojas, J. González, H. Pomares, L. J. Herrera, O. Valenzuela et al.
      Pages 174-183
  6. Information Retrieval

    1. Elizabeth D. Diaz, Arijit De, Vijay Raghavan
      Pages 193-201
    2. Sangjun Lee, Kyoungsu Oh, Dongseop Kwon, Wonik Choi, Jiman Hong, Jongmoo Choi et al.
      Pages 202-210
    3. Xing-Ye Dong, Hou-Kuan Huang, Hong-Song Li
      Pages 211-220
    4. Zbigniew W. Raś, Agnieszka Dardzińska, Osman Gürdal
      Pages 221-230
  7. Image Recognition and Processing

    1. Xinbo Gao, Tao Wang, Jie Li
      Pages 231-240
    2. Rui-hua Lu, Ming Yang, Yu-hui Qiu
      Pages 241-250
    3. Sinh Hoa Nguyen, Trung Thanh Nguyen, Hung Son Nguyen
      Pages 263-272
    4. Zhilin Feng, Jianwei Yin, Jiong Qiu, Xiaoming Liu, Jinxiang Dong
      Pages 273-282
  8. Multimedia Applications

    1. Andrzej Czyzewski, Marek Dziubinski, Lukasz Litwic, Przemyslaw Maziewski
      Pages 283-293
    2. Piotr Synak, Alicja Wieczorkowska
      Pages 314-322
    3. Zhe Yuan, Yu Wu, Guoyin Wang, Jianbo Li
      Pages 323-332
    4. Bożena Kostek, Piotr Szczuko
      Pages 333-341
  9. Medical Applications

  10. Bioinformatic Applications

  11. Web Content Analysis

    1. Rui Wu, Wansheng Tang, Ruiqing Zhao
      Pages 456-465
    2. Long Wang, Christoph Meinel, Chunnian Liu
      Pages 466-476

Other volumes

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

About these proceedings


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.


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
  • JingTao Yao
    • 2
  • James F. Peters
    • 3
  • Wojciech Ziarko
    • 2
  • Xiaohua Hu
    • 4
  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.Department of Computer ScienceUniversity of ReginaReginaCanada
  3. 3.Department of Electrical and Computer EngineeringUniversity of ManitobaWinnipegCanada
  4. 4.College of Computer and Information EngineeringHehan UniversityHenanChina

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-540-28660-8
  • Online ISBN 978-3-540-31824-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site