Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-22324-7_6 | DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, DASFAA 2015 |
Keywords | Field | DocType |
Open access, Knowledge communication, Knowledge source, Knowledge diffusion, Weighted cited frequency | Data mining,Computer science,Association rule learning,Growth of knowledge,Knowledge communication,Cluster analysis | Conference |
Volume | ISSN | Citations |
9052 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingyuan Wu | 1 | 20 | 2.75 |
| Qi Wu | 2 | 0 | 0.34 |
| Sidi Zhao | 3 | 0 | 0.34 |
| Mingxue Wei | 4 | 0 | 0.34 |
| Fu Lee Wang | 5 | 926 | 118.55 |