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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Aijun An

    1. Dept. of Computer Science and Engineering, York University, Toronto, Canada

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  2. Jerzy Stefanowski

    1. Institute of Computing Sciences, Poznań University of Technology, Poznań, Poland

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  3. Sheela Ramanna

    1. Department of Applied Computer Science, University of Winnipeg, Winnipeg, Canada

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  4. Cory J. Butz

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

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  5. Witold Pedrycz

    1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

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  6. Guoyin Wang

    1. Institute of Compuer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4482)

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

Included in the following conference series:

Conference proceedings info: RSFDGrC 2007.

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Table of contents (69 papers)

  1. Front Matter

    Download chapter PDF

  2. Invited Papers

    1. Toward Rough-Granular Computing

      • Andrzej Jankowski, Andrzej Skowron
      Pages 1-12

    2. Data Clustering Algorithms for Information Systems

      • Sadaaki Miyamoto
      Pages 13-24

    3. From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery

      • Eugenio Cesario, Domenico Talia
      Pages 25-36

    4. A New Algorithm for Attribute Reduction in Decision Tables

      • Xuegang Hu, Junhua Shi, Xindong Wu
      Pages 37-46

  3. Fuzzy-Rough Hybridization

    1. Algebraic Properties of Adjunction-Based Fuzzy Rough Sets

      • Tingquan Deng, Yanmei Chen, Guanghong Gao
      Pages 47-54

    2. Fuzzy Approximation Operators Based on Coverings

      • Tongjun Li, Jianmin Ma
      Pages 55-62

    3. Information-Theoretic Measure of Uncertainty in Generalized Fuzzy Rough Sets

      • Ju-Sheng Mi, Xiu-Min Li, Hui-Yin Zhao, Tao Feng
      Pages 63-70

    4. Determining Significance of Attributes in the Unified Rough Set Approach

      • Alicja Mieszkowicz-Rolka, Leszek Rolka
      Pages 71-78

    5. A Rough-Hybrid Approach to Software Defect Classification

      • Sheela Ramanna, Rajen Bhatt, Piotr Biernot
      Pages 79-86

    6. Vaguely Quantified Rough Sets

      • Chris Cornelis, Martine De Cock, Anna Maria Radzikowska
      Pages 87-94

  4. Fuzzy Sets

    1. A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch

      • Arijit De, Elizabeth D. Diaz, Vijay Raghavan
      Pages 95-102

    2. A Fuzzy Group Decision Approach to Real Option Valuation

      • Chen Tao, Zhang Jinlong, Yu Benhai, Liu Shan
      Pages 103-110

    3. Fuzzifying Closure Systems and Fuzzy Lattices

      • Branimir Šešelja, Andreja Tepavčević
      Pages 111-118

    4. Evolution of Fuzzy System Models: An Overview and New Directions

      • Aslı Çelikyılmaz, I. Burhan Türkşen
      Pages 119-126

    5. Retracted Article: A New Cluster Validity Index for Fuzzy Clustering Based on Similarity Measure

      • Mohammad Hossein Fazel Zarandi, Elahe Neshat, I. Burhan Türkşen
      Pages 127-135

    6. A New Classifier Design with Fuzzy Functions

      • Aslı Çelikyılmaz, I. Burhan Türkşen, Ramazan Aktaş, M. Mete Doğanay, N. Başak Ceylan
      Pages 136-143

  5. Soft Computing in Medical Image Processing

    1. Image Analysis of Ductal Proliferative Lesions of Breast Using Architectural Features

      • Haegil Hwang, Hyekyoung Yoon, Hyunju Choi, Myounghee Kim, Heungkook Choi
      Pages 144-152

    2. Nucleus Segmentation and Recognition of Uterine Cervical Pap-Smears

      • Kwang-Baek Kim, Doo Heon Song, Young Woon Woo
      Pages 153-160

    3. A Study: Segmentation of Lateral Ventricles in Brain MRI Using Fuzzy C-Means Clustering with Gaussian Smoothing

      • Kai Xiao, Sooi Hock Ho, Qussay Salih
      Pages 161-170
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  1. Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Keywords

About this book

This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14–16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzis law Pawlak. Roughsettheoryhasbecomeanintegralpartofdiversehybridresearchstreams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, kno- edgetechnologyanddiscovery,softandgranularcomputing,dataprocessingand mining, while maintaining an emphasis on foundations and applications. RSFDGrC 2007 followed in the footsteps of well-established international initiatives devoted to the dissemination of rough sets research, held so far in Canada, China, Japan, Poland, Sweden, and the USA. RSFDGrC was ?rst - ganized as the 7th International Workshop on Rough Sets, Data Mining and Granular Computing held in Yamaguchi, Japan in 1999. Its key feature was to stress the role of integrating intelligent information methods to solve real-world, large, complex problems concerned with uncertainty and fuzziness. RSFDGrC achieved the status of a bi-annual international conference, starting from 2003 in Chongqing, China.

Editors and Affiliations

  • Dept. of Computer Science and Engineering, York University, Toronto, Canada

    Aijun An

  • Institute of Computing Sciences, Poznań University of Technology, Poznań, Poland

    Jerzy Stefanowski

  • Department of Applied Computer Science, University of Winnipeg, Winnipeg, Canada

    Sheela Ramanna

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

    Cory J. Butz

  • Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

    Witold Pedrycz

  • Institute of Compuer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China

    Guoyin Wang

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