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Rough Sets and Current Trends in Computing

6th International Conference, RSCTC 2008 Akron, OH, USA, October 23 - 25, 2008 Proceedings

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Chien-Chung Chan

    1. Department of Computer Science, The University of Akron, Akron, USA

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  2. Jerzy W. Grzymala-Busse

    1. Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, USA

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  3. Wojciech P. Ziarko

    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 5306)

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

Included in the following conference series:

Conference proceedings info: RSCTC 2008.

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Table of contents (54 papers)

  1. Clustering

    1. Learning Patterns from Clusters Using Reduct

      • Alka Arora, Shuchita Upadhyaya, Rajni Jain
      Pages 389-398

  2. Pattern Recognition and Image Processing

    1. Experiments with Rough Set Approach to Face Recognition

      • Xuguang Chen, Wojciech Ziarko
      Pages 399-408

    2. Standard and Fuzzy Rough Entropy Clustering Algorithms in Image Segmentation

      • Dariusz Małyszko, Jarosław Stepaniuk
      Pages 409-418

    3. Efficient Mining of Jumping Emerging Patterns with Occurrence Counts for Classification

      • Łukasz Kobyliński, Krzysztof Walczak
      Pages 419-428

    4. Evolutionary Algorithm for Fingerprint Images Filtration

      • Marcin Jędryka, Władysław Skarbek
      Pages 429-437

    5. Efficient Discovery of Top-K Minimal Jumping Emerging Patterns

      • Pawel Terlecki, Krzysztof Walczak
      Pages 438-447

    6. Hierarchical Tree for Dissemination of Polyphonic Noise

      • Rory Lewis, Amanda Cohen, Wenxin Jiang, Zbigniew Raś
      Pages 448-456

    7. A Data Driven Emotion Recognition Method Based on Rough Set Theory

      • Yong Yang, Guoyin Wang, Fei Luo, Zhenjing Li
      Pages 457-464

    8. Learning from Soft-Computing Methods on Abnormalities in Audio Data

      • Alicja Wieczorkowska
      Pages 465-474

  3. Bioinformatics

    1. Shadowed Clustering for Speech Data and Medical Image Segmentation

      • Bishal Barman, Sushmita Mitra, Witold Pedrycz
      Pages 475-484

    2. Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers

      • Alan J. Barton, Julio J. Valdes
      Pages 485-494

    3. A Hybrid Model for Aiding in Decision Making for the Neuropsychological Diagnosis of Alzheimer’s Disease

      • Ana Karoline Araújo de Castro, Plácido Rogério Pinheiro, Mirian Calíope Dantas Pinheiro
      Pages 495-504

  4. Special Sessions

    1. Rough Sets in Data Warehousing

      • Dominik Ślęzak, Jakub Wróblewski, Victoria Eastwood, Piotr Synak
      Pages 505-507

    2. Classification Challenges in Email Archiving

      • Arvind Srinivasan, Gaurav Baone
      Pages 508-519

    3. Approximation Theories: Granular Computing vs Rough Sets

      • Tsau Young (‘T. Y. ’) Lin
      Pages 520-529

  5. Back Matter

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  1. Rough Sets and Current Trends in Computing

Keywords

About this book

The articles in this volume were selected for presentation at the Sixth Inter- tional Conference on Rough Sets and Current Trends in Computing (RSCTC 2008), which took place on October 23–25 in Akron, Ohio, USA. The conference is a premier event for researchersand industrial professionals interested in the theory and applications of rough sets and related methodo- gies. Since its introduction over 25 years ago by Zdzislaw Pawlak, the theory of rough sets has grown internationally and matured, leading to novel applications and theoretical works in areas such as data mining and knowledge discovery, machine learning, neural nets, granular and soft computing, Web intelligence, pattern recognition and control. The proceedings of the conferences in this - ries, as well as in Rough Sets and Knowledge Technology (RSKT), and the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC) series report a variety of innovative applications of rough set theory and of its extensions. Since its inception, the mathematical rough set theory was closely connected to application ?elds of computer science and to other areas, such as medicine, which provided additional motivation for its further development and tested its real-life value. Consequently, rough set conferences emphasize the - teractionsandinterconnectionswith relatedresearchareas,providingforumsfor exchanging ideas and mutual learning. The latter aspect is particularly imp- tant since the development of rough set-related applications usually requires a combination of often diverse expertise in rough sets and an application ?eld.

Editors and Affiliations

  • Department of Computer Science, The University of Akron, Akron, USA

    Chien-Chung Chan

  • Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, USA

    Jerzy W. Grzymala-Busse

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

    Wojciech P. Ziarko

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