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Intelligent Data Mining

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Cover of 'Intelligent Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Some Considerations in Multi-Source Data Fusion
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    Chapter 2 Granular Nested Causal Complexes
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    Chapter 3 Gene Regulating Network Discovery
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    Chapter 4 Semantic Relations and Information Discovery
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    Chapter 5 Sequential Pattern Mining *
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    Chapter 6 Uncertain Knowledge Association Through Information Gain
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    Chapter 7 Data Mining for Maximal Frequent Patterns in Sequence Groups
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    Chapter 8 Mining Association Rules with Rough Sets
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    Chapter 9 The Evolution of the Concept of Fuzzy Measure
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    Chapter 10 Association Rule Based Specialization in ER Models
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    Chapter 11 Discovering the Factors Affecting the Location Selection of FDI in China *
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    Chapter 12 Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction
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    Chapter 13 Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System
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    Chapter 14 Evolutionary Induction of Descriptive Rules in a Market Problem
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    Chapter 15 Personalized Multi-Stage Decision Support in Reverse Logistics Management
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    Chapter 16 Fuzzy Process Control with Intelligent Data Mining
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    Chapter 17 Accelerating the New Product Introduction with Intelligent Data Mining
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    Chapter 18 Integrated Clustering Modeling with Backpropagation Neural Network for Effcient Customer Relationship Management
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    Chapter 19 Sensory Quality Management and Assessment: from Manufacturers to Consumers
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    Chapter 20 Simulated Annealing Approach for the Multi-objective Facility Layout Problem
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    Chapter 21 Self-Tuning Fuzzy Rule Bases with Belief Structure
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    Chapter 22 A User Centred Approach to Management Decision Making
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    Chapter 23 Techniques to Improve Multi-Agent Systems for Searching and Mining the Web
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    Chapter 24 Advanced Simulator Data Mining for Operators’ Performance Assessment
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40 Mendeley
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Title
Intelligent Data Mining
Published by
Springer Berlin Heidelberg, September 2005
DOI 10.1007/b97578
ISBNs
978-3-54-026256-5, 978-3-54-032407-2
Editors

Ruan, Da, Chen, Guoqing, Kerre, Etienne, Wets, Geert

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 5%
Researcher 2 5%
Other 1 3%
Professor 1 3%
Student > Doctoral Student 1 3%
Other 2 5%
Unknown 31 78%
Readers by discipline Count As %
Computer Science 6 15%
Social Sciences 2 5%
Business, Management and Accounting 1 3%
Unknown 31 78%