The Research on Association Rules Mining Technology in Student Achievement Early Warning

DOI

10.2991/snce-17.2017.119How to use a DOI?

Keywords

Association rules; Data mining; Achievements; Early warning

Abstract

An early warning model of student achievement is established by association rule mining, using the SQL Server association rule mining algorithm. Analyze the association rules of student's first courses exams. Implementation of student achievement warning model. Early warning model is used to find the association rules between courses so as to warn students of their academic achievements. Many years of practice show that this method plays an important role in improving the quality of teaching.

Copyright

© 2017, 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  - Song Shaoyun
PY  - 2017/07
DA  - 2017/07
TI  - The Research on Association Rules Mining Technology in Student Achievement Early Warning
BT  - Proceedings of the 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017)
PB  - Atlantis Press
SP  - 584
EP  - 589
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-17.2017.119
DO  - 10.2991/snce-17.2017.119
ID  - Shaoyun2017/07
ER  -