Intelligent Knowledge A Study beyond Data Mining

Intelligent Knowledge A Study beyond Data Mining / by Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li.

This book is mainly about an innovative and fundamental method called “intelligent knowledge” to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book incl...

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Bibliographic Details
Main Authors: Shi, Yong (Author), Zhang, Lingling (Author), Tian, Yingjie (Author), Li, Xingsen (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:SpringerBriefs in Business,
Springer eBook Collection.
Subjects:
Information technology.
Business—Data processing.
Business ethics.
Business mathematics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Dedication
  • Preface
  • Data Mining and Knowledge Management
  • Foundations of Intelligent Knowledge Management
  • Intelligent Knowledge and Habitual Domain
  • Domain Driven Intelligent Knowledge Discovery
  • Knowledge-Incorporated Multiple Criteria Linear Programming Classifiers
  • Knowledge Extraction from Support Vector Machines
  • Intelligent Knowledge Acquisition and Application in Customer Churn
  • Intelligent Knowledge Management in Expert Mining in Traditional Chinese Medicines.

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