Intelligent Knowledge - SpringerBriefs in Business
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Published By Springer Berlin Heidelberg

9783662461921, 9783662461938
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Intelligent Knowledge Management in Expert Mining in Traditional Chinese Medicines

2015 ◽  
pp. 131-139
Author(s):  
Yong Shi ◽  
Lingling Zhang ◽  
Yingjie Tian ◽  
Xingsen Li
Keyword(s):  
Knowledge Management ◽  
Traditional Chinese Medicines ◽  
Chinese Medicines ◽  
Intelligent Knowledge Management

Domain Driven Intelligent Knowledge Discovery

2015 ◽  
pp. 47-80
Author(s):  
Yong Shi ◽  
Lingling Zhang ◽  
Yingjie Tian ◽  
Xingsen Li
Keyword(s):  
Knowledge Discovery

Intelligent Knowledge Acquisition and Application in Customer Churn

2015 ◽  
pp. 113-129
Author(s):  
Yong Shi ◽  
Lingling Zhang ◽  
Yingjie Tian ◽  
Xingsen Li
Keyword(s):  
Knowledge Acquisition ◽  
Customer Churn

Data Mining and Knowledge Management

2015 ◽  
pp. 1-11
Author(s):  
Yong Shi ◽  
Lingling Zhang ◽  
Yingjie Tian ◽  
Xingsen Li
Keyword(s):  
Data Mining ◽  
Knowledge Management

Foundations of Intelligent Knowledge Management

2015 ◽  
pp. 13-30
Author(s):  
Yong Shi ◽  
Lingling Zhang ◽  
Yingjie Tian ◽  
Xingsen Li
Keyword(s):  
Knowledge Management ◽  
Intelligent Knowledge Management

Knowledge Extraction from Support Vector Machines

2015 ◽  
pp. 101-111
Author(s):  
Yong Shi ◽  
Lingling Zhang ◽  
Yingjie Tian ◽  
Xingsen Li
Keyword(s):  
Support Vector Machines ◽  
Knowledge Extraction ◽  
Support Vector ◽  
Vector Machines

Knowledge-incorporated Multiple Criteria Linear Programming Classifiers

2015 ◽  
pp. 81-100
Author(s):  
Yong Shi ◽  
Lingling Zhang ◽  
Yingjie Tian ◽  
Xingsen Li
Keyword(s):  
Linear Programming ◽  
Multiple Criteria

Intelligent Knowledge and Habitual Domain

2015 ◽  
pp. 31-46
Author(s):  
Yong Shi ◽  
Lingling Zhang ◽  
Yingjie Tian ◽  
Xingsen Li
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