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

14th International Conference, RSFDGrC 2013, Halifax, NS, Canada, October 11-14, 2013. Proceedings

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Davide Ciucci

    1. University of Milano-Bicocca, Milano, Italy

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  2. Masahiro Inuiguchi

    1. Osaka University, Toyonaka, Japan

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  3. Yiyu Yao

    1. University of Regina, Regina, Canada

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  4. Dominik Ślęzak

    1. University of Warsaw, Warsaw, Poland

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  5. Guoyin Wang

    1. Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8170)

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

Included in the following conference series:

Conference proceedings info: RSFDGrC 2013.

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Table of contents (42 papers)

  1. Front Matter

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  2. Invited Keynote Lectures

    1. 30 Years of Rough Sets and Future Perspectives

      • Andrzej Skowron, Andrzej Jankowski, Roman Swiniarski
      Pages 1-10

    2. Multi-granular Computing in Web Age

      • Bo Zhang, Ling Zhang
      Pages 11-14

    3. Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models

      • Vijay V. Raghavan, Ryan G. Benton, Tom Johnsten, Ying Xie
      Pages 15-25

    4. Individual Approximate Clusters: Methods, Properties, Applications

      • Boris Mirkin
      Pages 26-37

    5. Some New Progress in Analyzing and Mining Uncertain and Probabilistic Data for Big Data Analytics

      • Jian Pei
      Pages 38-45

  3. Inconsistency, Incompleteness, Non-Determinism

    1. Three Approaches to Deal with Inconsistent Decision Tables - Comparison of Decision Tree Complexity

      • Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 46-54

    2. Rough Set-Based Information Dilution by Non-deterministic Information

      • Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata
      Pages 55-66

    3. Belief Discernibility Matrix and Function for Incremental or Large Data

      • Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
      Pages 67-76

    4. An Experimental Comparison of Three Interpretations of Missing Attribute Values Using Probabilistic Approximations

      • Patrick G. Clark, Jerzy W. Grzymała-Busse
      Pages 77-86

    5. Efficient Algorithms for Attribute Reduction on Set-Valued Decision Tables

      • Sinh Hoa Nguyen, Thi Thu Hien Phung
      Pages 87-98

    6. Metric Based Attribute Reduction in Incomplete Decision Tables

      • Long Giang Nguyen, Hung Son Nguyen
      Pages 99-110

    7. The Completion Algorithm in Multiple Decision Tables Based on Rough Sets

      • Na Jiao
      Pages 111-118

    8. Multi-label Classification Using Rough Sets

      • Ying Yu, Duoqian Miao, Zhifei Zhang, Lei Wang
      Pages 119-126

  4. Fuzzy and Rough Hybridization

    1. Enhancing Rough Clustering with Outlier Detection Based on Evidential Clustering

      • Manish Joshi, Pawan Lingras
      Pages 127-137

    2. On Dual Intuitionistic Fuzzy Rough Approximation Operators Determined by an Intuitionistic Fuzzy Implicator

      • Wei-Zhi Wu, Cang-Jian Gao, Tong-Jun Li, You-Hong Xu
      Pages 138-146

    3. Discernibility Matrix Based Attribute Reduction in Intuitionistic Fuzzy Decision Systems

      • Qinrong Feng, Rui Li
      Pages 147-156

    4. A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems

      • Anping Zeng, Tianrui Li, Chuan Luo, Junbo Zhang, Yan Yang
      Pages 157-168

    5. Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties

      • Lynn D’eer, Nele Verbiest, Chris Cornelis, Lluis Godo
      Pages 169-179

    6. OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory

      • Nele Verbiest, Chris Cornelis, Francisco Herrera
      Pages 180-190
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Other volumes

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

Keywords

About this book

This book constitutes the thoroughly refereed conference proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2013, held in Halifax, Canada in October 2013 as one of the co-located conference of the 2013 Joint Rough Set Symposium, JRS 2013. The 69 papers (including 44 regular and 25 short papers) included in the JRS proceedings (LNCS 8170 and LNCS 8171) were carefully reviewed and selected from 106 submissions. The papers in this volume cover topics such as inconsistency, incompleteness, non-determinism; fuzzy and rough hybridization; granular computing and covering-based rough sets; soft clustering; image and medical data analysis.

Editors and Affiliations

  • University of Milano-Bicocca, Milano, Italy

    Davide Ciucci

  • Osaka University, Toyonaka, Japan

    Masahiro Inuiguchi

  • University of Regina, Regina, Canada

    Yiyu Yao

  • University of Warsaw, Warsaw, Poland

    Dominik Ślęzak

  • Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing, China

    Guoyin Wang

Bibliographic Information

  • Book Title: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

  • Book Subtitle: 14th International Conference, RSFDGrC 2013, Halifax, NS, Canada, October 11-14, 2013. Proceedings

  • Editors: Davide Ciucci, Masahiro Inuiguchi, Yiyu Yao, Dominik Ślęzak, Guoyin Wang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-642-41218-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Softcover ISBN: 978-3-642-41217-2Published: 11 September 2013

  • eBook ISBN: 978-3-642-41218-9Published: 07 October 2013

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 398

  • Number of Illustrations: 77 b/w illustrations

  • Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Computation by Abstract Devices, Pattern Recognition

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