Study and Application of Apriori Algorithm in Students’ Behavior of Taking Courses

DOI

10.2991/nceece-15.2016.186How to use a DOI?

Keywords

data mining; association rule; Apriori algorithm; take courses

Abstract

Association rule mining is the core technology of data mining. The Apriori algorithm is introduced and applied to the process of students taking courses and teaching themselves by a network teaching system. On the basis of large amounts of data, frequent itemsets will be found by the Apriori algorithm. The frequent itemsets describe the relation between students’ characteristics and their behavior of taking courses. According to these relations, when a new student first takes courses, the teaching system can intelligently predict his/her tendency of taking courses and recommend appropriate courses to him/her.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing LiN
PY  - 2015/12
DA  - 2015/12
TI  - Study and Application of Apriori Algorithm in Students’ Behavior of Taking Courses
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1041
EP  - 1046
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.186
DO  - 10.2991/nceece-15.2016.186
ID  - LiN2015/12
ER  -