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Rough Set Theory: A True Landmark in Data Analysis

  • Ajith Abraham
  • Rafael Falcón
  • Rafael Bello

Part of the Studies in Computational Intelligence book series (SCI, volume 174)

Table of contents

  1. Front Matter
  2. Theoretical Contributions to Rough Set Theory

  3. Rough Set Data Mining Activities

    1. Front Matter
      Pages 135-135
    2. Rafael Falcón, Gwanggil Jeon, Rafael Bello, Jechang Jeong
      Pages 137-161
    3. Hameed Al-Qaheri, Aboul Ella Hassanien, Ajith Abraham
      Pages 163-186
    4. Sarina Sulaiman, Siti Mariyam Shamsuddin, Ajith Abraham
      Pages 187-211
  4. Rough Hybrid Models to Classification and Attribute Reduction

    1. Front Matter
      Pages 233-233
    2. Rafael Bello, Yudel Gómez, Yailé Caballero, Ann Nowe, Rafael Falcón
      Pages 235-260
    3. Hongbo Liu, Ajith Abraham, Yanheng Li
      Pages 261-278
  5. Back Matter

About this book

Introduction

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms. The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable.

Keywords

Computational Intelligence Computer-Aided Design (CAD) Evolution Fuzzy Rough Set Research algorithms classification data mining evolutionary computation genetic algorithms heuristics intelligence knowledge knowledge-based system

Editors and affiliations

  • Ajith Abraham
    • 1
  • Rafael Falcón
    • 2
  • Rafael Bello
    • 3
  1. 1.Norwegian University of Science and TechnologyTrondheimNorway
  2. 2.School of Information Technology and Engineering (SITE)Central University of Las VillasVilla ClaraCuba
  3. 3.Department of Computer ScienceCentral University of LasVillasVilla ClaraCuba

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-89921-1
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-89920-4
  • Online ISBN 978-3-540-89921-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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