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/).
Cite this article
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 -