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 language | English |
|---|---|
| Title of host publication | Information and Business Intelligence - International Conference, IBI 2011, Proceedings |
| Pages | 95-101 |
| Number of pages | 7 |
| Edition | PART 1 |
| DOIs | |
| Publication status | Published - 2012 May 14 |
| Event | International Conference on Information and Business Intelligence, IBI 2011 - Chongqing, China Duration: 2011 Dec 23 → 2011 Dec 25 |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Number | PART 1 |
| Volume | 267 CCIS |
| ISSN (Print) | 1865-0929 |
Other
| Other | International Conference on Information and Business Intelligence, IBI 2011 |
|---|---|
| Country | China |
| City | Chongqing |
| Period | 11-12-23 → 11-12-25 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Mathematics(all)
Cite this
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Using sequential pattern mining to analyze the behavior on the WELS. / Wang, Yi Lin; Wen, Ling-Yu; Chen, Tung Shou; Chen, Rong Chang.
Information and Business Intelligence - International Conference, IBI 2011, Proceedings. PART 1. ed. 2012. p. 95-101 (Communications in Computer and Information Science; Vol. 267 CCIS, No. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Using sequential pattern mining to analyze the behavior on the WELS
AU - Wang, Yi Lin
AU - Wen, Ling-Yu
AU - Chen, Tung Shou
AU - Chen, Rong Chang
PY - 2012/5/14
Y1 - 2012/5/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84860749016&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84860749016&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-29084-8_15
DO - 10.1007/978-3-642-29084-8_15
M3 - Conference contribution
AN - SCOPUS:84860749016
SN - 9783642290831
T3 - Communications in Computer and Information Science
SP - 95
EP - 101
BT - Information and Business Intelligence - International Conference, IBI 2011, Proceedings
ER -