Rough Sets and Knowledge Technology

6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011. Proceedings

  • JingTao Yao
  • Sheela Ramanna
  • Guoyin Wang
  • Zbigniew Suraj
Conference proceedings RSKT 2011

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6954)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6954)

Table of contents

  1. Front Matter
  2. Keynote Papers

  3. Invited Tutorial

  4. Attribute Reduction and Feature Selection

  5. Generalized Rough Set Models

    1. Xinwei Zheng, Jian-Hua Dai
      Pages 120-125
    2. Jerzy W. Grzymała-Busse
      Pages 136-145
    3. Shiping Wang, William Zhu, Fan Min
      Pages 146-155
    4. Wei-Zhi Wu, Yu-Fang Yang, You-Hong Xu
      Pages 156-165
    5. Junbo Zhang, Tianrui Li, Yan Yang, Lei Wang
      Pages 166-171
  6. Machine Learning with Rough and Hybrid Techniques

    1. Shuang An, Qinghua Hu, Daren Yu
      Pages 172-177
    2. Abdulaziz Alkhalid, Igor Chikalov, Mikhail Moshkov
      Pages 178-186
    3. Abdulaziz Alkhalid, Igor Chikalov, Mikhail Moshkov
      Pages 187-194
    4. P. S. V. S. Sai Prasad, K. Hima Bindu, C. Raghavendra Rao
      Pages 195-200
    5. Masahiro Inuiguchi, Masahiko Tsuji, Yoshifumi Kusunoki, Masayo Tsurumi
      Pages 201-207
    6. Fan Li, Qihe Liu
      Pages 208-216
    7. Tonny Rutayisire, Yan Yang, Chao Lin, Jinyuan Zhang
      Pages 217-225
    8. Hiroshi Sakai, Michinori Nakata, Dominik Ślęzak
      Pages 226-231
    9. Roman Simiński, Agnieszka Nowak-Brzezińska, Tomasz Jach, Tomasz Xięski
      Pages 232-237
  7. Knowledge Technology

    1. Radim Belohlavek, Lucie Urbanova, Vilem Vychodil
      Pages 258-267
    2. Praveen Ganghishetti, Rajeev Wankar, Rafah M. Almuttairi, C. Raghavendra Rao
      Pages 268-273
    3. Masahiro Inuiguchi, Tatsuya Higuchi, Masayo Tsurumi
      Pages 280-289
    4. Huaiyu Wan, Youfang Lin, Caiyan Jia, Houkuan Huang
      Pages 301-310
  8. Intelligent Systems and Applications

    1. Luis Henrique Almeida, Plácido Rogério Pinheiro, Adriano Bessa Albuquerque
      Pages 311-320
    2. Yong Du, Qinghua Hu, Peijun Ma, Xiaohong Su
      Pages 327-336
    3. Abdolreza Hatamlou, Salwani Abdullah, Hossein Nezamabadi-pour
      Pages 337-346
    4. Wenjing Li, Jia Qiu, Zhaocong Wu, Zhiyong Lin, Shaoning Li
      Pages 347-353
    5. Shuang Liu, Lijun Sun, Yurong Guo, Jialin Gao, Lei Liu
      Pages 354-359
    6. Umadevi Maramreddi, Arun Agarwal, C. Raghavendra Rao
      Pages 360-365
    7. Krzysztof Pancerz, Arkadiusz Lewicki, Ryszard Tadeusiewicz, Jerzy Gomuła
      Pages 366-375
    8. Hamid Parvin, Behrouz Minaei-Bidgoli, Hosein Alizadeh
      Pages 376-381

About these proceedings


This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011.
The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications.


complex networks decision support systems fuzzy rough sets quality of service (QoS) similarity measure

Editors and affiliations

  • JingTao Yao
    • 1
  • Sheela Ramanna
    • 2
  • Guoyin Wang
    • 3
  • Zbigniew Suraj
    • 4
  1. 1.Department of Computer ScienceUniversity of Regina, ReginaSaskatchewanCanada
  2. 2.Department of Applied Computer ScienceUniversity of WinnipegWinnipegCanada
  3. 3.Institute of Computer Science & TechnologyChongqing University of Posts and TelecommunicationsChongqingP.R. China
  4. 4.Chair of Computer ScienceUniversity of RzeszówPoland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-24424-7
  • Online ISBN 978-3-642-24425-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site