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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

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Dominik Ślęzak

    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. Box, Poland

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  2. Guoyin Wang

    1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, P.R. China

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  3. Marcin Szczuka

    1. Institute of Mathematics, Warsaw University, Warsaw, Poland

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  4. Ivo Düntsch

    1. Department of Computer Science, Brock University, Canada

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  5. Yiyu Yao

    1. Department of Computer Science, University of Regina, Regina, Canada

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

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

Included in the following conference series:

Conference proceedings info: RSFDGrC 2005.

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Table of contents (75 papers)

  1. Front Matter

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  3. Rough Set Approximations

    1. Rough Sets and Higher Order Vagueness

      • Andrzej Skowron, Roman Swiniarski
      Pages 33-42

    2. Approximation in Formal Concept Analysis

      • Ming-Wen Shao, Wen-Xiu Zhang
      Pages 43-53

    3. Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments

      • Krzysztof Dembczyński, Salvatore Greco, Roman Słowiński
      Pages 54-63

    4. New Approach for Basic Rough Set Concepts

      • A. A. Allam, M. Y. Bakeir, E. A. Abo-Tabl
      Pages 64-73

    5. A Partitional View of Concept Lattice

      • Jian-Jun Qi, Ling Wei, Zeng-Zhi Li
      Pages 74-83

    6. Characterizations of Attributes in Generalized Approximation Representation Spaces

      • Guo-Fang Qiu, Wen-Xiu Zhang, Wei-Zhi Wu
      Pages 84-93

  4. Rough-Algebraic Foundations

    1. Proximity Spaces of Exact Sets

      • Peter John Apostoli, Akira Kanda
      Pages 94-103

    2. Rough Group, Rough Subgroup and Their Properties

      • Duoqian Miao, Suqing Han, Daoguo Li, Lijun Sun
      Pages 104-113

    3. Concept Lattices vs. Approximation Spaces

      • Piotr Wasilewski
      Pages 114-123

    4. Rough Sets over the Boolean Algebras

      • Gui-Long Liu
      Pages 124-131

    5. Algebraic Approach to Generalized Rough Sets

      • Michiro Kondo
      Pages 132-140

    6. Logic for Rough Sets with Rough Double Stone Algebraic Semantics

      • Jian-Hua Dai
      Pages 141-148

  5. Feature Selection and Reduction

    1. On Partial Tests and Partial Reducts for Decision Tables

      • Mikhail Ju. Moshkov, Marcin Piliszczuk
      Pages 149-155

    2. The Second Attribute

      • Suqing Han, Jue Wang
      Pages 156-165

    3. Pairwise Cores in Information Systems

      • Jakub Wróblewski
      Pages 166-175

    4. Data Preprocessing and Kappa Coefficient

      • Gaelle Legrand, Nicolas Nicoloyannis
      Pages 176-184
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Other volumes

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

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

Keywords

About this book

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.

Editors and Affiliations

  • 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. Box, Poland

    Dominik Ślęzak

  • School of Information Science and Technology, Southwest Jiaotong University, Chengdu, P.R. China

    Guoyin Wang

  • Institute of Mathematics, Warsaw University, Warsaw, Poland

    Marcin Szczuka

  • Department of Computer Science, Brock University, Canada

    Ivo Düntsch

  • Department of Computer Science, University of Regina, Regina, Canada

    Yiyu Yao

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