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  • Book
  • © 2005

Intelligent Data Mining

Techniques and Applications

Editors:

  • State of the art on intelligent systems in data mining applications
  • Balanced mixture of theory and practice, includes new development of intelligent systems and data mining applications in business
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 5)

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Softcover Book USD 219.99
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Hardcover Book USD 219.99
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Table of contents (24 chapters)

  1. Front Matter

  2. Granular Nested Causal Complexes

    • Lawrence J. Mazlack
    Pages 23-48
  3. Gene Regulating Network Discovery

    • Yingjun Cao, Paul P. Wang, Alade Tokuta
    Pages 49-78
  4. Semantic Relations and Information Discovery

    • D. Cai, C.J. van Rijsbergen
    Pages 79-102
  5. Sequential Pattern Mining*

    • Tian-Rui Li, Yang Xu, Da Ruan, Wu-ming Pan
    Pages 103-122
  6. Uncertain Knowledge Association Through Information Gain

    • Athena Tocatlidou, Da Ruan, Spiros Th. Kaloudis, Nikos A. Lorentzos
    Pages 123-135
  7. Data Mining for Maximal Frequent Patterns in Sequence Groups

    • J.W. Guan, D.A. Bell, D.Y. Liu
    Pages 137-161
  8. Mining Association Rules with Rough Sets

    • D.A. Bell, J.W. Guan, D.Y. Liu
    Pages 163-184
  9. The Evolution of the Concept of Fuzzy Measure

    • Luis Garmendia
    Pages 185-200
  10. Association Rule Based Specialization in ER Models

    • Martine De Cock, Chris Cornelis, Ming Ren, Guoqing Chen, Etienne E. Kerre
    Pages 201-217
  11. Discovering the Factors Affecting the Location Selection of FDI in China*

    • Li Zhang, Yujie Zhu, Ying Liu, Nan Zhou, Guoqing Chen
    Pages 219-236
  12. Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction

    • Koen Vanhoof, Pieter Pauwels, Jószef Dombi, Tom Brijs, Geert Wets
    Pages 237-252
  13. Evolutionary Induction of Descriptive Rules in a Market Problem

    • M.J. del Jesus, P. González, F. Herrera, M. Mesonero
    Pages 267-292
  14. Fuzzy Process Control with Intelligent Data Mining

    • Murat Gülbay, Cengiz Kahraman
    Pages 313-336
  15. Accelerating the New Product Introduction with Intelligent Data Mining

    • Gülçin Büyüközkan, Orhan Feyzioğlu
    Pages 337-354
  16. Sensory Quality Management and Assessment: from Manufacturers to Consumers

    • Ludovic Koehl, Xianyi Zeng, Bin Zhou, Yongsheng Ding
    Pages 375-400

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.

Bibliographic Information

Buy it now

Buying options

Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access