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Intelligent Knowledge

A Study beyond Data Mining

  • Book
  • © 2015

Overview

Authors:
  1. Yong Shi

    1. Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, China

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  2. Lingling Zhang

    1. School of Management, Univ. of Chinese Academy of Sciences, Beijing, China

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  3. Yingjie Tian

    1. Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, China

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  4. Xingsen Li

    1. School of Management, Ningbo Institute of Technology, Zhejiang University, Ningbo, China

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  • A valuable resource for researchers who want to learn how the results of data mining (hidden patterns) can be used to effectively support decision-making
  • Argues that the human knowledge or preferences of end-users should be combined with the results of data mining to achieve intelligent knowledge, the ultimate goal of data mining
  • Can be used as a textbook for seminars on the interface of data mining and knowledge management fields for both undergraduate and graduate students?
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Business (BRIEFSBUSINESS)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Data Mining and Knowledge Management

    • Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 1-11

  3. Foundations of Intelligent Knowledge Management

    • Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 13-30

  4. Intelligent Knowledge and Habitual Domain

    • Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 31-46

  5. Domain Driven Intelligent Knowledge Discovery

    • Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 47-80

  6. Knowledge-incorporated Multiple Criteria Linear Programming Classifiers

    • Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 81-100

  7. Knowledge Extraction from Support Vector Machines

    • Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 101-111

  8. Intelligent Knowledge Acquisition and Application in Customer Churn

    • Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 113-129

  9. Intelligent Knowledge Management in Expert Mining in Traditional Chinese Medicines

    • Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
    Pages 131-139

  10. Back Matter

    Pages 141-150
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Keywords

About this book

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.

Authors and Affiliations

  • Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, China

    Yong Shi, Yingjie Tian

  • School of Management, Univ. of Chinese Academy of Sciences, Beijing, China

    Lingling Zhang

  • School of Management, Ningbo Institute of Technology, Zhejiang University, Ningbo, China

    Xingsen Li

Bibliographic Information

  • Book Title: Intelligent Knowledge

  • Book Subtitle: A Study beyond Data Mining

  • Authors: Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li

  • Series Title: SpringerBriefs in Business

  • DOI: https://doi.org/10.1007/978-3-662-46193-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Business and Economics, Business and Management (R0)

  • Copyright Information: The Author(s) 2015

  • Softcover ISBN: 978-3-662-46192-1Published: 20 May 2015

  • eBook ISBN: 978-3-662-46193-8Published: 08 May 2015

  • Series ISSN: 2191-5482

  • Series E-ISSN: 2191-5490

  • Edition Number: 1

  • Number of Pages: XVI, 150

  • Number of Illustrations: 23 b/w illustrations, 24 illustrations in colour

  • Topics: IT in Business, Business Ethics, Business Mathematics

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