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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.
|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||Abstract:||
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.
|URI:||https://repository.cihe.edu.hk/jspui/handle/cihe/763||DOI:||10.1007/978-3-319-22324-7_6||CIHE Affiliated Publication:||Yes|
|Appears in Collections:||CIS Publication|
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