Research and Application of Mining Algorithm Based on Association Rules in Colleges Management System

DOI

10.2991/meici-18.2018.101How to use a DOI?

Keywords

Association Rule; Apriori; Colleges Management; Frequent Item; Candidate Item

Abstract

This paper aims at the insufficient of Apriori association rule mining algorithm. To avoid the blind search in the process of mining and enhance the search efficiency in the collection of frequent item, we investigate the improvement of Apriori algorithm. Then, we use the algorithm for mining on data collection of the students' scores of the college of computer in a high school, and achieve good performance. The results show the associations of the scores between courses, and the impact of the sequence of courses on scores. These results can be used for reference and instruction for better works including training schemes and educational reform.

Copyright

© 2018, 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  - 2018/12
DA  - 2018/12
TI  - Research and Application of Mining Algorithm Based on Association Rules in Colleges Management System
BT  - Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
PB  - Atlantis Press
SP  - 510
EP  - 514
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-18.2018.101
DO  - 10.2991/meici-18.2018.101
ID  - Feng2018/12
ER  -