A Novel Approach to Clustering Access Patterns in E-learning Environment

摘要：

In recent years, web-based education has been growing rapidly in size and complexity. Therefore, the approaches to teaching and learning have been changing with emerging technologies over the recent past. In an e-learning environment, students access pattern mining is an emerging technique that can be utilized to not only reveal student access interest but also improve web page recommendation. With the thoughts of fuzzy sets, this paper presents a novel approach to clustering student access patterns based on transitive closure. An algorithm is also proposed with an illustrative example.

关键词： Access patterns clustering e-learning fuzzy sets transitive closure

作者: Jian-Wen Zhao Shen-MingGu Ling He

作者单位: School of Mathematics, Physics and Information Science,Zhejiang Ocean University, Zhoushan, Zhejiang School of Mathematics, Physics and Information Science,Zhejiang Ocean University, Zhoushan, Zhejiang Foreign Languages School, Zhejiang Ocean University, Zhoushan, 316004, P.R.China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 393-397

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）