Application of Data Mining in University Teaching and Management

DOI

10.2991/meici-16.2016.175How to use a DOI?

Keywords

Data mining; Association rules; Student mark management; Teaching; Clustering

Abstract

The association rule is an important pattern in data mining. It is widely applied to the field of finance and commerce, but it is not so in university teaching and management process, and some factors that influence the effect of teaching and management are consequently ignored. Based on the research of the algorithm on the mining association rule, a method is proposed for clustering association rule. An example is given to explain the application of the proposed algorithm on analyzing students' scores. The results show that method is more reasonable and scientific than the traditional method in dependence analysis between the courses, which provides a scientific basis for university management and decision making.

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  - Shaorong Feng
PY  - 2016/09
DA  - 2016/09
TI  - Application of Data Mining in University Teaching and Management
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 841
EP  - 848
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.175
DO  - 10.2991/meici-16.2016.175
ID  - Feng2016/09
ER  -