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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

12th International Conference, RSFDGrC 2009, Delhi, India, December 16-18, 2009, Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Hiroshi Sakai

    1. Department of Mathematics and Computer Aided Sciences, Kyushu Institute of Technology, Tobata, Japan

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  2. Mihir Kumar Chakraborty

    1. Department of Pure Mathematics, University of Calcutta, Kolkata, India

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  3. Aboul Ella Hassanien

    1. Information Technology Department, University of Cairo, Giza, Egypt

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  4. Dominik Ślęzak

    1. University of Warsaw & Infobright Inc., Poland

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  5. William Zhu

    1. University of Electronic Science and Technology of China, Chengdu, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5908)

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

Included in the following conference series:

Conference proceedings info: RSFDGrC 2009.

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Table of contents (63 papers)

  1. Front Matter

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  2. Plenary Papers and Reports

    1. Affordance Relations

      • Ivo Düntsch, Günther Gediga, Adam Lenarcic
      Pages 1-11

    2. Discovering Concurrent Process Models in Data: A Rough Set Approach

      • Zbigniew Suraj
      Pages 12-19

    3. Intelligent Science

      • Zhongzhi Shi
      Pages 20-32

    4. Pattern Structures for Analyzing Complex Data

      • Sergei O. Kuznetsov
      Pages 33-44

    5. Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis

      • Qiang Shen
      Pages 45-58

    6. Innovation Game as a Tool of Chance Discovery

      • Yukio Ohsawa
      Pages 59-66

    7. Rough Set Year in India 2009

      • Manish Joshi, Rabi N. Bhaumik, Pawan Lingras, Nitin Patil, Ambuja Salgaonkar, Dominik Ślęzak
      Pages 67-68

  3. Foundations of Rough Sets and Beyond

    1. An Algebraic Semantics for the Logic of Multiple-Source Approximation Systems

      • Md. Aquil Khan, Mohua Banerjee
      Pages 69-76

    2. Towards an Algebraic Approach for Cover Based Rough Semantics and Combinations of Approximation Spaces

      • A. Mani
      Pages 77-84

    3. New Approach in Defining Rough Approximations

      • E. K. R. Nagarajan, D. Umadevi
      Pages 85-92

    4. Rough Set Approximations Based on Granular Labels

      • Wei-Zhi Wu
      Pages 93-100

    5. On a Criterion of Similarity between Partitions Based on Rough Set Theory

      • Yasuo Kudo, Tetsuya Murai
      Pages 101-108

    6. On Rough Sets with Structures and Properties

      • Ryszard Janicki
      Pages 109-116

    7. A Formal Concept Analysis Approach to Rough Data Tables

      • Bernhard Ganter, Christian Meschke
      Pages 117-126

    8. Covering Based Approaches to Rough Sets and Implication Lattices

      • Pulak Samanta, Mihir Kumar Chakraborty
      Pages 127-134

    9. A Logical Reasoning System of Before-after Relation Based on Bf-EVALPSN

      • Kazumi Nakamatsu, Jair Minoro Abe, Seiki Akama
      Pages 135-143

    10. Some Proof Theoretic Results Depending on Context from the Perspective of Graded Consequence

      • Soma Dutta, Mihir Kumar Chakraborty
      Pages 144-151

  4. Rough Set Algorithms and Applications

    1. IQuickReduct: An Improvement to Quick Reduct Algorithm

      • P. S. V. S. Sai Prasad, C. Raghavendra Rao
      Pages 152-159

    2. Dynamic Reduct from Partially Uncertain Data Using Rough Sets

      • Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
      Pages 160-167
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  1. Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

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About this book

This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2009, held in Delhi, India in December 2009 in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI 2009. RSFDGrC 2009 is the core component of a broader Rough Set Year in India initiative, RSIndia09. The 56 revised full papers presented together with 6 invited papers and a report on the Rough Set Year in India 2009 project were carefully reviewed and selected from a total of 130 submissions. The papers are organized in topical sections on foundations of rough sets and beyond; rought set algorithms and applications; fuzzy set foundations and applications; data mining and knowledge discovery; clustering and current trends in computing; and information retrieval and text mining.

Editors and Affiliations

  • Department of Mathematics and Computer Aided Sciences, Kyushu Institute of Technology, Tobata, Japan

    Hiroshi Sakai

  • Department of Pure Mathematics, University of Calcutta, Kolkata, India

    Mihir Kumar Chakraborty

  • Information Technology Department, University of Cairo, Giza, Egypt

    Aboul Ella Hassanien

  • University of Warsaw & Infobright Inc., Poland

    Dominik Ślęzak

  • University of Electronic Science and Technology of China, Chengdu, China

    William Zhu

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