期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2019
卷号：14
期号：01
页码：150-158
语种：English
出版社：Kassel University Press
摘要：The online sources of the web, since years, are an extraordinarily important base of information and knowledge. Indeed, the web is one of the best access point to any type of information. For the users who want to share their knowledge, the wiki system is a powerful tool. Nevertheless, any system has its limits. The investigation on the contributions performance of individual contributors is yet unexplored because it is partly related to the design of wikis which is considered for collaborative work. Consequently, this has made the assessment and evaluation of individual contributions a hard task. In this research, we will attempt to emphasize the significance of distinguishing the relevant articles based on the opinions of contributors and their contributions. In this way, we will focus on the utilization of data mining using clusters analysis and k-means algorithm techniques.
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