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Swarm Intelligence in Data Mining

  • Ajith Abraham
  • Crina Grosan
  • Vitorino Ramos

Part of the Studies in Computational Intelligence book series (SCI, volume 34)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Crina Grosan, Ajith Abraham, Monica Chis
    Pages 1-20
  3. David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Tom Holvoet
    Pages 21-43
  4. Richard Jensen
    Pages 45-73
  5. Mahamed G. H. Omran, Andries P. Engelbrecht, Ayed Salman
    Pages 125-151
  6. Hanene Azzag, Christiane Guinot, Gilles Venturini
    Pages 153-189
  7. Majid Kazemian, Yoosef Ramezani, Caro Lucas, Behzad Moshiri
    Pages 191-202
  8. Zsolt Palotai, Sándor Mandusitz, András Lórincz
    Pages 203-219
  9. Christian Veenhuis, Mario Köppen
    Pages 221-241
  10. Yan Yang, Mohamed Kamel, Fan Jin
    Pages 243-264
  11. Back Matter
    Pages 265-267

About this book

Introduction

Swarm Intelligence is an innovative distributed intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples by swarming, flocking and herding phenomena in vertebrates. Data Mining is an analytic process designed to explore large amounts of data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data.

This book deals with the application of swarm intelligence in data mining. Addressing the various issues of swarm intelligence and data mining using different intelligent approaches is the novelty of this edited volume. This volume comprises of 11 chapters including an introductory chapter giving the fundamental definitions and some important research challenges.

Important features include the detailed overview of the various swarm intelligence and data mining paradigms, excellent coverage of timely, advanced data mining topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and application of optimization techniques and data mining will find the comprehensive coverage of this book invaluable.

Keywords

Computer Computer-Aided Design (CAD) Data Mining Fuzzy Swarm Intelligence algorithm algorithms cognition image processing intelligence learning optimization

Editors and affiliations

  • Ajith Abraham
    • 1
  • Crina Grosan
    • 2
  • Vitorino Ramos
    • 3
  1. 1.IITA Professorship ProgramSchool of Computer Science and Engineering Chung-Ang UniversityDongjak-gu SeoulRepublic of Korea
  2. 2.Department of Computer ScienceFaculty of Mathematics and Computer Science, Babes-Bolyai UniversityCluj - NapocaRomania
  3. 3.CVRM-IST, ISTTechnical University of LisbonLisboaPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-34956-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-34955-6
  • Online ISBN 978-3-540-34956-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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