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Rough Sets and Knowledge Technology

4th International Conference, RSKT 2009, Gold Coast, Australia, July 14-16, 2009, Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Peng Wen

    1. Faculty of Engineering and Surveying and Engineering, University of Southern Queensland, Australia

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  2. Yuefeng Li

    1. School of Information Technology, Queensland University of Technology, Brisbane, Australia

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  3. Lech Polkowski

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

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  4. Yiyu Yao

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

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  5. Shusaku Tsumoto

    1. Faculty of Medicine, Department of Medical Informatics, Shimane University, Shimane, Japan

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  6. Guoyin Wang

    1. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5589)

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

Included in the following conference series:

Conference proceedings info: RSKT 2009.

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Table of contents (88 papers)

  1. Front Matter

    Download chapter PDF

  2. Keynote Papers

    1. Interactive Granular Computing in Rightly Judging Systems

      • Andrzej Jankowski, Andrzej Skowron, Marcin Szczuka
      Pages 1-16

    2. Rough Diamonds in Natural Language Learning

      • David M. W. Powers, Richard Leibbrandt
      Pages 17-26

    3. KT: Knowledge Technology — The Next Step of Information Technology (IT)

      • Guoyin Wang
      Pages 27-29

  3. Rough Sets and Computing

    1. Rough 3-Valued Łukasiewicz Agebras and MV-Algebras

      • Jianhua Dai, Xiaochun Liu
      Pages 30-37

    2. Mechanisms of Partial Supervision in Rough Clustering Approaches

      • Rafael Falcón, Gwanggil Jeon, Kangjun Lee, Rafael Bello, J. Jeong
      Pages 38-45

    3. Lattice Derived by Double Indiscernibility and Computational Complementarity

      • Yukio-Pegio Gunji, Taichi Haruna, Eugene Schneider Kitamura
      Pages 46-51

    4. Double Approximation and Complete Lattices

      • Taichi Haruna, Yukio-Pegio Gunji
      Pages 52-59

    5. Integrating Rough Sets with Neural Networks for Weighting Road Safety Performance Indicators

      • Tianrui Li, Yongjun Shen, Da Ruan, Elke Hermans, Geert Wets
      Pages 60-67

    6. Evolutionary Rough K-Means Clustering

      • Pawan Lingras
      Pages 68-75

    7. Rough Sets under Non-deterministic Information

      • Michinori Nakata, Hiroshi Sakai
      Pages 76-85

    8. Development of the Data Preprocessing Agent’s Knowledge for Data Mining Using Rough Set Theory

      • Zulaiha Ali Othman, Azuraliza Abu Bakar, Zalinda Othman, Suzanna Rosli
      Pages 86-93

    9. Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs through Mixed Samples Clustering

      • Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng, Yu-Chi Lin
      Pages 94-101

    10. Topological Residuated Lattice: A Unifying Algebra Representation of Some Rough Set Models

      • Xiaohong Zhang
      Pages 102-110

  4. Rough Sets and Data Reduction

    1. A Time-Reduction Strategy to Feature Selection in Rough Set Theory

      • Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang
      Pages 111-119

    2. Reducts Evaluation Methods Using Lazy Algorithms

      • Pawel Delimata, Zbigniew Suraj
      Pages 120-127

    3. Knowledge Reduction in Formal Contexts Based on Covering Rough Sets

      • Tong-Jun Li
      Pages 128-135

    4. On New Concept in Computation of Reduct in Rough Sets Theory

      • Faizah Shaari, Azuraliza Abu Bakar, Abd Razak Hamdan
      Pages 136-143

    5. Research of Knowledge Reduction Based on New Conditional Entropy

      • Jiucheng Xu, Lin Sun
      Pages 144-151

    6. Research on Complete Algorithms for Minimal Attribute Reduction

      • Jie Zhou, Duoqian Miao, Qinrong Feng, Lijun Sun
      Pages 152-159
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  1. Rough Sets and Knowledge Technology

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About this book

This book constitutes the refereed proceedings of the Fourth International Conference on Rough Sets and Knowledge Technology, RSKT 2009, held in Gold Coast, Australia, in July 2009. The 85 revised full papers papers presented together with 3 keynote papers and 2 special sessions were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on rough sets and computing, rough sets and data reduction, data mining and knowledge discovery, granular computing and cognitive computing, fuzzy sets and computing, knowledge technology and intelligent systems, computational intelligence and applications, image processing and understanding, and formal concept analysis.

Editors and Affiliations

  • Faculty of Engineering and Surveying and Engineering, University of Southern Queensland, Australia

    Peng Wen

  • School of Information Technology, Queensland University of Technology, Brisbane, Australia

    Yuefeng Li

  • Institute of Mathematics, Warsaw University of Technology, Warsaw, Poland

    Lech Polkowski

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

    Yiyu Yao

  • Faculty of Medicine, Department of Medical Informatics, Shimane University, Shimane, Japan

    Shusaku Tsumoto

  • Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

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