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Intelligent Knowledge

A Study beyond Data Mining

  • Yong Shi
  • Lingling Zhang
  • Yingjie Tian
  • Xingsen Li

Part of the SpringerBriefs in Business book series (BRIEFSBUSINESS)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 1-11
  3. Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 13-30
  4. Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 31-46
  5. Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 47-80
  6. Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 81-100
  7. Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 101-111
  8. Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 113-129
  9. Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 131-139
  10. Back Matter
    Pages 141-150

About this book

Introduction

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 includes definitions of the “first-order” analytic process, “second-order” analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.

Keywords

Big Data Data Mining Domain Driven Approaches Fundamental Method Intelligent Knowledge Multiple Criteria Decision Making

Authors and affiliations

  • Yong Shi
    • 1
  • Lingling Zhang
    • 2
  • Yingjie Tian
    • 3
  • Xingsen Li
    • 4
  1. 1.Research Center on Fictitious Economy and Data ScienceChinese Academy of SciencesBeijingChina
  2. 2.School of ManagementUniv. of Chinese Academy of SciencesBeijingChina
  3. 3.Research Center on Fictitious Economy and Data ScienceChinese Academy of SciencesBeijingChina
  4. 4.School of ManagementNingbo Institute of Technology, Zhejiang UniversityNingboChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-46193-8
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-662-46192-1
  • Online ISBN 978-3-662-46193-8
  • Series Print ISSN 2191-5482
  • Series Online ISSN 2191-5490
  • Buy this book on publisher's site
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