Intelligent Data Mining

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  • Format: Hardcover
  • Copyright: 2005-10-16
  • Publisher: Springer-Verlag New York Inc
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"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.

Table of Contents

Part I Intelligent Systems and Data Mining
Some Considerations in Multi-Source Data Fusion
Ronald R. Yager
Granular Nested Causal Complexes
Lawrence J. Mazlack
Gene Regulating Network Discovery
Yingjun Cao, Paul P. Wang and Alade Tokuta
Semantic Relations and Information Discovery
D. Cai and C.J. van Rijsbergen
Sequential Pattern Mining
Tian-Rui Li, Yang Xu, Da Ruan and Wu-ming Pan
Uncertain Knowledge Association Through Information Gain
Athena Tocatlidou, Da Ruan, Spiros Th. Kaloudis and Nikos A. Lorentzos
Data Mining for Maximal Frequent Patterns in Sequence Groups
J.W. Guan, D.A. Bell and D.Y. Liu
Mining Association Rules with Rough Sets
D.A. Bell, J.W. Guan and D.Y. Liu
The Evolution of the Concept of Fuzzy Measure
Luis Garmendia
Part II Economic and Management Applications
Association Rule Based Specialization in ER Models
Martine De Cock, Chris Cornelis, Ming Ren, Guoqing Chen and Etienne E. Kerre
Discovering the Factors Affecting the Location Selection of FDI in China
Li Zhang, Yujie Zhu, Ying Liu, Nan Zhou and Guoqing Chen
Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction
Koen Vanhoof, Pieter Pauwels, Jószef Dombi, Torn Brijs and Geert Wets
Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System
Davy Janssens, Geert Wets, Tom Brijs and Koen Vanhoof
Evolutionary Induction of Descriptive Rules in a Market Problem
M.J. del Jesus, P. González, F. Herrera and M. Mesonero
Personalized Multi-Stage Decision Support in Reverse Logistics Management
Jie Lu and Guangquan Zhang
Part III Industrial Engineering Applications
Fuzzy Process Control with Intelligent Data Mining
Murat Gülbay and Cengiz Kahraman
Accelerating the New Product Introduction with Intelligent Data Mining
Gülçin Büyüközkan and Orhan Feyzioglu
Integrated Clustering Modeling with Backpropagation Neural Network for Efficient Customer Relationship Management
Tijen Ertay and Bora Çekyay
Sensory Quality Management and Assessment: from Manufacturers to Consumers
Ludovic Koehl, Xianyi Zeng, Bin Zhou and Yongsheng Ding
Simulated Annealing Approach for the Multi-objective Facility Layout Problem
Umut R. Tuzkaya, Tijen Ertay and Da Ruan
Self-Tuning Fuzzy Rule Bases with Belief Structure
Jun Liu, Da Ruan, Jian-Bo Yang and Luis Martinez Lopez
A User Centred Approach to Management Decision Making
L.P. Maguire, T.A. McCloskey, P.K. Humphreys and R. McIvor
Techniques to Improve Multi-Agent Systems for Searching and Mining the Web
E. Herrera-Viedma, C. Porcel, F. Herrera, L. Martinez and A.G. Lopez-Herrera
Advanced Simulator Data Mining for Operators' Performance Assessment
Anthony Spurgin and Gueorgui Petkov
Subject Index 515

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