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Intelligent Data Mining : Techniques and Applications,9783540262565
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Intelligent Data Mining : Techniques and Applications

by ; ; ;
Edition:
1st
ISBN13:

9783540262565

ISBN10:
3540262563
Format:
Hardcover
Pub. Date:
10/16/2005
Publisher(s):
Springer Verlag
List Price: $329.00
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Summary

"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
3(20)
Granular Nested Causal Complexes
Lawrence J. Mazlack
23(26)
Gene Regulating Network Discovery
Yingjun Cao, Paul P. Wang and Alade Tokuta
49(30)
Semantic Relations and Information Discovery
D. Cai and C.J. van Rijsbergen
79(24)
Sequential Pattern Mining
Tian-Rui Li, Yang Xu, Da Ruan and Wu-ming Pan
103(20)
Uncertain Knowledge Association Through Information Gain
Athena Tocatlidou, Da Ruan, Spiros Th. Kaloudis and Nikos A. Lorentzos
123(14)
Data Mining for Maximal Frequent Patterns in Sequence Groups
J.W. Guan, D.A. Bell and D.Y. Liu
137(26)
Mining Association Rules with Rough Sets
D.A. Bell, J.W. Guan and D.Y. Liu
163(22)
The Evolution of the Concept of Fuzzy Measure
Luis Garmendia
185(18)
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
203(16)
Discovering the Factors Affecting the Location Selection of FDI in China
Li Zhang, Yujie Zhu, Ying Liu, Nan Zhou and Guoqing Chen
219(18)
Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction
Koen Vanhoof, Pieter Pauwels, Jószef Dombi, Torn Brijs and Geert Wets
237(16)
Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System
Davy Janssens, Geert Wets, Tom Brijs and Koen Vanhoof
253(14)
Evolutionary Induction of Descriptive Rules in a Market Problem
M.J. del Jesus, P. González, F. Herrera and M. Mesonero
267(26)
Personalized Multi-Stage Decision Support in Reverse Logistics Management
Jie Lu and Guangquan Zhang
293(22)
Part III Industrial Engineering Applications
Fuzzy Process Control with Intelligent Data Mining
Murat Gülbay and Cengiz Kahraman
315(22)
Accelerating the New Product Introduction with Intelligent Data Mining
Gülçin Büyüközkan and Orhan Feyzioglu
337(18)
Integrated Clustering Modeling with Backpropagation Neural Network for Efficient Customer Relationship Management
Tijen Ertay and Bora Çekyay
355(20)
Sensory Quality Management and Assessment: from Manufacturers to Consumers
Ludovic Koehl, Xianyi Zeng, Bin Zhou and Yongsheng Ding
375(26)
Simulated Annealing Approach for the Multi-objective Facility Layout Problem
Umut R. Tuzkaya, Tijen Ertay and Da Ruan
401(18)
Self-Tuning Fuzzy Rule Bases with Belief Structure
Jun Liu, Da Ruan, Jian-Bo Yang and Luis Martinez Lopez
419(20)
A User Centred Approach to Management Decision Making
L.P. Maguire, T.A. McCloskey, P.K. Humphreys and R. McIvor
439(24)
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
463(24)
Advanced Simulator Data Mining for Operators' Performance Assessment
Anthony Spurgin and Gueorgui Petkov
487(28)
Subject Index 515


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