E Book

Intelligent Data Mining

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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.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.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

: .,

Deskripsi Fisik

X, 518 p.online resource.

Bahasa

English

ISBN/ISSN

9783540324072

Klasifikasi

519

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

1st ed. 2005.

Subjek

COMPUTERS.
Pattern recognition.
Information technology.
Business—Data processing.
IT in Business.
Applied mathematics.
Engineering mathematics.
Mathematical and Computational Engineering.
Information Systems and Communication Service.
Control engineering.
Robotics.
Mechatronics.
Control, Robotics, Mechatronics.

Info Detail Spesifik

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Pernyataan Tanggungjawab

edited by Da Ruan, Guoqing Chen, Etienne E. Kerre, Geert Wets.

Versi lain/terkait

Lampiran Berkas

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