Table of contents

  1. Front Matter
  2. Lawrence J. Mazlack
    Pages 23-48
  3. Yingjun Cao, Paul P. Wang, Alade Tokuta
    Pages 49-78
  4. D. Cai, C.J. van Rijsbergen
    Pages 79-102
  5. Tian-Rui Li, Yang Xu, Da Ruan, Wu-ming Pan
    Pages 103-122
  6. Athena Tocatlidou, Da Ruan, Spiros Th. Kaloudis, Nikos A. Lorentzos
    Pages 123-135
  7. J.W. Guan, D.A. Bell, D.Y. Liu
    Pages 137-161
  8. D.A. Bell, J.W. Guan, D.Y. Liu
    Pages 163-184
  9. Luis Garmendia
    Pages 185-200
  10. Martine De Cock, Chris Cornelis, Ming Ren, Guoqing Chen, Etienne E. Kerre
    Pages 201-217
  11. Li Zhang, Yujie Zhu, Ying Liu, Nan Zhou, Guoqing Chen
    Pages 219-236
  12. Koen Vanhoof, Pieter Pauwels, Jószef Dombi, Tom Brijs, Geert Wets
    Pages 237-252
  13. M.J. del Jesus, P. González, F. Herrera, M. Mesonero
    Pages 267-292
  14. Murat Gülbay, Cengiz Kahraman
    Pages 313-336
  15. Gülçin Büyüközkan, Orhan Feyzioğlu
    Pages 337-354
  16. Ludovic Koehl, Xianyi Zeng, Bin Zhou, Yongsheng Ding
    Pages 375-400
  17. Umut R. Tuzkaya, Tijen Ertay, Da Ruan
    Pages 401-418
  18. Jun Liu, Da Ruan, Jian-Bo Yang, Luis Martinez Martinez
    Pages 419-437
  19. L.P. Maguire, T.A. McCloskey, P.K. Humphreys, R. McIvor
    Pages 439-461
  20. E. Herrera-Viedma, C. Porcel, F. Herrera, L. Martínez, A.G. Lopez-Herrera
    Pages 463-486
  21. Anthony Spurgin, Gueorgui Petkov
    Pages 487-514
  22. Back Matter

About this book


Intelligent Data Mining - Techniques and Applications is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.


backpropagation calculus clustering computer-aided design (CAD) control data mining evolution fuzzy intelligent systems knowledge management modeling neural networks quality service-oriented computing

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin/Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-26256-5
  • Online ISBN 978-3-540-32407-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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