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Proceedings of 2009 International Symposium on Computer Science and Computational Technology (ISCSCT 2009)

Huangshan, China, December 26-28, 2009

Editors: Fei Yu, Guangxue Yue, Jian Shu, Yun Liu

AP Catalog Number: AP-PROC-CS-09CN005

ISBN: 978-952-5726-07-7 (Print), 978-952-5726-08-4 (CD-ROM)

Page(s): 431-434

Applying Association Rule Analysis in Bibliometric Analysis—A Case Study in Data Mining

        Fang Li, Chenyao Li, and Yangge Tian

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Scientific research needs lots of literature searches that cost a large amount of time and energy. Bibliometric techniques could help us find research hotspots and grasp the research direction yet can’t reveal huge hidden information in massive literature since the existing bibliometric analysis techniques employ mainly simple statistical analysis techniques. Hence, we propose to introduce data mining analysis techniques into bibliometrics analysis, and expect to reach some instructive conclusions by mining relations among information like keywords, authors, research institutions, publications and so on. We take the subject 'data mining' as our research object and analyze the records by the method of association rule analysis. Finally, we get some valuable conclusions that verify the idea's feasibility. The results of this research would not only provide a reference for data mining research but also be applied to other research fields.

Index Terms

data mining; bibliometric; association rule; SCI

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