DocumentCode
3417459
Title
Matrix-based multidimensional sequential pattern mining algorithm and application
Author
Qin, Xiaowei ; Liu, Yan
Author_Institution
Comput. & Inf. Eng. Coll., Chifeng Univ., Chifeng, China
fYear
2012
fDate
24-26 Aug. 2012
Firstpage
879
Lastpage
882
Abstract
Summarize and discuss the matrix-based sequential pattern mining method. Research data characteristics of intelligent tutoring system, and discuss how to use the sequence pattern mining to optimize the teaching resources, monitor the learning process of students, give real-time navigation, and improve the efficiency and quality of teaching.
Keywords
data mining; intelligent tutoring systems; matrix algebra; teaching; data characteristics; intelligent tutoring system; learning process; matrix based sequential pattern mining; matrix-based multidimensional sequential pattern mining; real-time navigation; sequence pattern mining; teaching quality; teaching resources; Navigation; data organization; matrix; sequence patterns; tutoring system;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location
Xi´an, Shaanxi
Print_ISBN
978-1-4673-1410-7
Type
conf
DOI
10.1109/CSIP.2012.6308994
Filename
6308994
Link To Document