Overview
- 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)
Keywords
About this book
Authors and Affiliations
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
Industry Sectors: Automotive, Biotechnology, Finance, Business & Banking, IT & Software, Pharma, Telecommunications