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
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;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6308994
