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  • Conference proceedings
  • © 2007

Rough Sets and Intelligent Systems Paradigms

International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4585)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): RSEISP: International Conference on Rough Sets and Intelligent Systems Paradigms

Conference proceedings info: RSEISP 2007.

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Table of contents (86 papers)

  1. Front Matter

  2. Keynote Presentations

    1. Granular Computing and Rough Set Theory

      • Lotfi A. Zadeh
      Pages 1-4
    2. Dominance-Based Rough Set Approach to Reasoning About Ordinal Data

      • Roman SÅ‚owiÅ„ski, Salvatore Greco, Benedetto Matarazzo
      Pages 5-11
  3. Invited Papers

    1. Mining Numerical Data—A Rough Set Approach

      • Jerzy W. Grzymala-Busse
      Pages 12-21
    2. Rough Sets and Approximation Schemes

      • Victor W. Marek, MirosÅ‚aw Truszczynski
      Pages 22-28
    3. Generalizing Data in Natural Language

      • Ryszard S. Michalski, Janusz Wojtusiak
      Pages 29-39
    4. Hierarchical Rough Classifiers

      • Sinh Hoa Nguyen, Hung Son Nguyen
      Pages 40-50
    5. Toward Approximate Adaptive Learning

      • James F. Peters
      Pages 57-68
    6. MIRAI: Multi-hierarchical, FS-Tree Based Music Information Retrieval System

      • Zbigniew W. RaÅ›, Xin Zhang, Rory Lewis
      Pages 80-89
    7. Medical Reasoning and Rough Sets

      • Shusaku Tsumoto
      Pages 90-100
    8. The Art of Granular Computing

      • Yiyu Yao
      Pages 101-112
    9. Dependencies in Structures of Decision Tables

      • Wojciech Ziarko
      Pages 113-121
  4. Foundations of Rough Sets

    1. Rough Sets and Vague Sets

      • Zbigniew Bonikowski, Urszula Wybraniec-Skardowska
      Pages 122-132
    2. Consistency-Degree Between Knowledges

      • M. K. Chakraborty, P. Samanta
      Pages 133-141
    3. On Three Closely Related Rough Inclusion Functions

      • Anna GomoliÅ„ska
      Pages 142-151
    4. Rough Set Theory from a Math-Assistant Perspective

      • Adam Grabowski, Magdalena JastrzÈ©bska
      Pages 152-161
    5. On Covering Attribute Sets by Reducts

      • Mikhail Ju. Moshkov, Andrzej Skowron, Zbigniew Suraj
      Pages 175-180

Other Volumes

  1. Rough Sets and Intelligent Systems Paradigms

Keywords

  • Spam
  • adaptive learning
  • algorithmic learning
  • approximation
  • association mining
  • attribute reducts
  • bioinformatics
  • case-based reasoning
  • classification
  • data mining
  • decision making
  • fuzzy sets
  • machine learning
  • natural language
  • neural network

Bibliographic Information

Buying options

eBook USD 84.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions