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Studies in Computational Intelligence

Swarm Intelligence in Data Mining

Editors: Abraham, Ajith, Grosan, Crina, Ramos, Vitorino (Eds.)

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eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-540-34956-3
  • Digitally watermarked, DRM-free
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  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-540-34955-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-642-07117-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

Table of contents (5 chapters)

  • Swarm Intelligence in Data Mining

    Dr. Crina Grosan, Ajith Abraham, Monica Chis

    Pages 1-20

    Preview Buy Chapter 30,19 €
  • Ant Colony Clustering and Feature Extraction for Anomaly Intrusion Detection

    Chi-Ho Tsang, Sam Kwong

    Pages 101-123

    Preview Buy Chapter 30,19 €
  • Particle Swarm Optimization for Pattern Recognition and Image Processing

    Mahamed G. H. Omran, Andries P. Engelbrecht, Ayed Salman

    Pages 125-151

    Preview Buy Chapter 30,19 €
  • Swarm Clustering Based on Flowers Pollination by Artificial Bees

    Majid Kazemian, Yoosef Ramezani, Caro Lucas, et al.

    Pages 191-202

    Preview Buy Chapter 30,19 €
  • Data Swarm Clustering

    Christian Veenhuis, Mario Köppen

    Pages 221-241

    Preview Buy Chapter 30,19 €

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-540-34956-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-540-34955-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-642-07117-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Swarm Intelligence in Data Mining
Editors
  • Ajith Abraham
  • Crina Grosan
  • Vitorino Ramos
Series Title
Studies in Computational Intelligence
Series Volume
34
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-34956-3
DOI
10.1007/978-3-540-34956-3
Hardcover ISBN
978-3-540-34955-6
Softcover ISBN
978-3-642-07117-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVIII, 268
Number of Illustrations and Tables
86 b/w illustrations, 5 illustrations in colour
Topics