Using sequential pattern mining to analyze the behavior on the WELS

Yi Lin Wang, Ling-Yu Wen, Tung Shou Chen, Rong Chang Chen

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Sequential pattern mining is an important data-mining method for determining time-related behavior in sequence database. This study used the methods of Sequential Pattern Mining to design a system, which was to mine the browsing behavior on the web-based e-learning system (WELS) in two semesters of the college students from a national university in Taiwan. This study also segmented and mined the materials with three attributes as different, during midterm and final tests, the beginning, middle, end of the semester, and college. Through the results of mining, we hope we can provide website designers, teachers, and website managers advice on designing, teaching and managing.

原文English
主出版物標題Information and Business Intelligence - International Conference, IBI 2011, Proceedings
頁面95-101
頁數7
版本PART 1
DOIs
出版狀態Published - 2012 五月 14
事件International Conference on Information and Business Intelligence, IBI 2011 - Chongqing, China
持續時間: 2011 十二月 232011 十二月 25

出版系列

名字Communications in Computer and Information Science
號碼PART 1
267 CCIS
ISSN(列印)1865-0929

Other

OtherInternational Conference on Information and Business Intelligence, IBI 2011
國家China
城市Chongqing
期間11-12-2311-12-25

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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