Using sequential pattern mining to analyze the behavior on the WELS

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInformation and Business Intelligence - International Conference, IBI 2011, Proceedings
Pages95-101
Number of pages7
EditionPART 1
DOIs
Publication statusPublished - 2012 May 14
EventInternational Conference on Information and Business Intelligence, IBI 2011 - Chongqing, China
Duration: 2011 Dec 232011 Dec 25

Publication series

NameCommunications in Computer and Information Science
NumberPART 1
Volume267 CCIS
ISSN (Print)1865-0929

Other

OtherInternational Conference on Information and Business Intelligence, IBI 2011
CountryChina
CityChongqing
Period11-12-2311-12-25

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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