Intelligent Knowledge

Yong Shi (), Lingling Zhang, Yingjie Tian and Xingsen Li
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Yong Shi: Chinese Academy of Sciences
Lingling Zhang: Univ. of Chinese Academy of Sciences
Yingjie Tian: Chinese Academy of Sciences
Xingsen Li: Ningbo Institute of Technology, Zhejiang University

in SpringerBriefs in Business from Springer

Date: 2015
Edition: 2015
ISBN: 978-3-662-46193-8
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Chapters in this book:

Ch 1 Data Mining and Knowledge Management

Yong Shi, Lingling Zhang, Yingjie Tian and Xingsen Li

Ch 2 Foundations of Intelligent Knowledge Management

Yong Shi, Lingling Zhang, Yingjie Tian and Xingsen Li

Ch 3 Intelligent Knowledge and Habitual Domain

Yong Shi, Lingling Zhang, Yingjie Tian and Xingsen Li

Ch 4 Domain Driven Intelligent Knowledge Discovery

Yong Shi, Lingling Zhang, Yingjie Tian and Xingsen Li

Ch 5 Knowledge-incorporated Multiple Criteria Linear Programming Classifiers

Yong Shi, Lingling Zhang, Yingjie Tian and Xingsen Li

Ch 6 Knowledge Extraction from Support Vector Machines

Yong Shi, Lingling Zhang, Yingjie Tian and Xingsen Li

Ch 7 Intelligent Knowledge Acquisition and Application in Customer Churn

Yong Shi, Lingling Zhang, Yingjie Tian and Xingsen Li

Ch 8 Intelligent Knowledge Management in Expert Mining in Traditional Chinese Medicines

Yong Shi, Lingling Zhang, Yingjie Tian and Xingsen Li

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DOI: 10.1007/978-3-662-46193-8

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