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Title: Knowledge communication analysis based on clustering and association rules mining
Author(s): Wang, Philips Fu Lee 
Author(s): Wu, Q.
Wu, Q.
Zhao, S.
Wei, M.
Issue Date: 2015
Publisher: Springer
Related Publication(s): Database Systems for Advanced Applications (DASFAA 2015 International Workshops) Revised Selected Papers
Start page: 66
End page: 75
With the growth of knowledge sharing, an increasingly large amount of Open-Access academic resources are being stored online. This paper systematically studies the method of mining knowledge communication via Open-Access Journals. We first designed a new framework of knowledge communication analysis based on clustering and association rule mining. Then, we proposed two improved indexes named cited frequency and weighted cited frequency. Extensive evaluations using real-world data validate the effectiveness of the proposed framework of knowledge communication analysis.
DOI: 10.1007/978-3-319-22324-7_6
CIHE Affiliated Publication: Yes
Appears in Collections:CIS Publication

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