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Studies in Computational Intelligence #5: Intelligent Data Mining: Techniques and Applications

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Studies in Computational Intelligence #5: Intelligent Data Mining: Techniques and Applications Cover

 

Synopses & Reviews

Publisher Comments:

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

From the contents: Part 1: Intelligent Systems and Data Mining; Some Considerations in Multi-Source Data Fusion; Granular Nested Causal Complexes; Gene Regulating Network Discovery; Semantic Relations and Information Discovery; Sequential Pattern Mining; Uncertain Knowledge Association through Information Gain; Data Mining for Maximal Frequency Patterns in Sequence Group; Mining Association Rule with Rough Sets; The Evolution of the Concept of Fuzzy Measure.- Part 2: Economic and Management Applications; Building ER Models with Association Rules; Discovering the Factors Affecting the Location Selection of FDI in China; Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction.- Part 3: Industrial Engineering Applications; Fuzzy Process Control with Intelligent Data Mining; Accelerating the New Product Introduction with Intelligent Data Mining; Integrated Clustering Modeling with Backpropagation Neural Network for Efficient Customer Relationship Management Mining.

Product Details

ISBN:
9783642065767
Author:
Ruan, Da
Publisher:
Springer
Author:
Chen, Guoqing
Author:
Wets, Geert
Author:
Kerre, Etienne E.
Subject:
Mathematics-Applied
Subject:
Applied
Subject:
Data mining
Subject:
Decision-making
Subject:
intelligent systems
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Pattern recognition.
Subject:
Information Systems and Communication Service
Subject:
BUSINESS INFORMATION SYSTEMS
Subject:
Control, Robotics, Mechatronics
Edition Description:
Softcover reprint of hardcover 1st ed. 2005
Series:
Studies in Computational Intelligence
Series Volume:
5
Publication Date:
20101031
Binding:
TRADE PAPER
Language:
English
Pages:
526
Dimensions:
235 x 155 mm 784 gr

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Internet » Information
Science and Mathematics » Mathematics » Applied

Studies in Computational Intelligence #5: Intelligent Data Mining: Techniques and Applications New Trade Paper
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