Intelligent Data Mining: Techniques and Applications

Author:   Da Ruan ,  Guoqing Chen ,  Etienne E. Kerre ,  Geert Wets
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 1st ed. 2005
Volume:   5
ISBN:  

9783642065767


Pages:   518
Publication Date:   28 October 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Intelligent Data Mining: Techniques and Applications


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Overview

"""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."

Full Product Details

Author:   Da Ruan ,  Guoqing Chen ,  Etienne E. Kerre ,  Geert Wets
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of hardcover 1st ed. 2005
Volume:   5
Dimensions:   Width: 15.50cm , Height: 2.70cm , Length: 23.50cm
Weight:   0.801kg
ISBN:  

9783642065767


ISBN 10:   3642065767
Pages:   518
Publication Date:   28 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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.

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