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  • Conference proceedings
  • © 2012

Rough Sets and Current Trends in Computing

8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012.Proceedings

Editors:

  1. JingTao Yao

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

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  2. Yan Yang

    1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, P.R. China

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  3. Roman Słowiński

    1. Institute of Computing Science, Poznan University of Technology, Poznan, Poland

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  4. Salvatore Greco

    1. Faculty of Economics, University of Catania, Catania, Italy

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  5. Huaxiong Li

    1. School of Management and Engineering, Nanjing University, Nanjing, P.R. China

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  6. Sushmita Mitra

    1. Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata, India

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  7. Lech Polkowski

    1. Polish-Japanese Institute of Information Technology, Warsaw, Poland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7413)

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

Conference series link(s): RSCTC: International Conference on Rough Sets and Current Trends in Computing

Conference proceedings info: RSCTC 2012.

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Table of contents (56 papers)

  1. Front Matter

    PDF

  2. Keynote

  3. Part I: Rough Sets and Its Applications

    1. A Multi-granulation Model under Dominance-Based Rough Set Approach

      • Shaoyong Li, Tianrui Li, Chuan Luo
      Pages 18-25

    2. A Refined Rough k-Means Clustering with Hybrid Threshold

      • Hailiang Wang, Mingtian Zhou
      Pages 26-35

    4. How Good Are Probabilistic Approximations for Rule Induction from Data with Missing Attribute Values?

      • Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
      Pages 46-55

    5. Induction of Ordinal Classification Rules from Incomplete Data

      • Jerzy Błaszczyński, Roman Słowiński, Marcin Szeląg
      Pages 56-65

    8. Probabilistic Fuzzy Rough Set Model over Two Universes

      • Bingzhen Sun, Weimin Ma, Haiyan Zhao, Xinxin Wang
      Pages 83-93

    9. Rough Optimizations of Complex Expressions in Infobright’s RDBMS

      • Dominik Ślęzak, Piotr Synak, Jakub Wróblewski, Janusz Borkowski, Graham Toppin
      Pages 94-99

    10. Rough Sets Based Inequality Rule Learner for Knowledge Discovery

      • Yang Liu, Guohua Bai, Qinglei Zhou, Elisabeth Rakus-Andersson
      Pages 100-105

  4. Part II: Current Trends in Computing

    1. A Computer Aided Diagnosis System for Breast Cancer Using Support Vector Machine

      • Omar S. Soliman, Aboul Ella Hassanien
      Pages 106-115

    2. A New Method of the Accurate Eye Corner Location

      • Yong Yang, Yunxia Lu
      Pages 116-125

    3. A Hybrid Approach of Verbal Decision Analysis and Machine Learning

      • Isabelle Tamanini, Plácido Rogério Pinheiro, Cícero Nogueira dos Santos
      Pages 126-131

    5. Density-Based Method for Clustering and Visualization of Complex Data

      • Tomasz Xięski, Agnieszka Nowak-Brzezińska, Alicja Wakulicz-Deja
      Pages 142-149

    6. Inference Processes Using Incomplete Knowledge in Decision Support Systems – Chosen Aspects

      • Agnieszka Nowak-Brzezińska, Tomasz Jach, Alicja Wakulicz-Deja
      Pages 150-155

    7. Interactive Document Indexing Method Based on Explicit Semantic Analysis

      • Andrzej Janusz, Wojciech Świeboda, Adam Krasuski, Hung Son Nguyen
      Pages 156-165

    8. Microblog Topic Detection Based on LDA Model and Single-Pass Clustering

      • Bo Huang, Yan Yang, Amjad Mahmood, Hongjun Wang
      Pages 166-171
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Other Volumes

  1. Rough Sets and Current Trends in Computing

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About this book

This book constitutes the refereed proceedings of the 8th International Conference on Rough Sets and Current Trends in Computing, RSCTC, held in Chengdu, China, in August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 55 revised full papers presented together with one keynote paper were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets and its applications; current trends in computing; decision-theoretic rough set model and applications; formal concept analysis and granular computing; mining complex data with granular computing; data mining competition.
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Keywords

  • approximation
  • classification rules
  • decision support systems
  • machine learning
  • set theory
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Editors and Affiliations

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

    JingTao Yao

  • School of Information Science and Technology, Southwest Jiaotong University, Chengdu, P.R. China

    Yan Yang

  • Institute of Computing Science, Poznan University of Technology, Poznan, Poland

    Roman Słowiński

  • Faculty of Economics, University of Catania, Catania, Italy

    Salvatore Greco

  • School of Management and Engineering, Nanjing University, Nanjing, P.R. China

    Huaxiong Li

  • Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata, India

    Sushmita Mitra

  • Polish-Japanese Institute of Information Technology, Warsaw, Poland

    Lech Polkowski

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Bibliographic Information

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Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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