The Application of Data Mining Techniques in College Students Information System

DOI

10.2991/csece-18.2018.76How to use a DOI?

Keywords

date mining; decision tree algorithm; association rules mining algorithm; database application

Abstract

Nowadays, with the expanding of database application, every fields have accumulated huge amounts of data including the College students' activities records. These records are very meticulously reflecting the status of the students' learning and life by analysis their relationships using data mining techniques. The traditional methods of choosing Excellent students and Outstanding Class Leader and Postgraduate Recommendation and Poor students is manual manipulation. But, in this paper, we develop a system which brings in data mining techniques with decision tree algorithm and association rules mining algorithm. Through analyzing the data from college student library records and consumption records and student score and psychological test done by the students, this information system can automatically show the results under data mining algorithm.

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/).

Download article (PDF)

TY  - CONF
AU  - Yang Liu
AU  - Jingwei Chen
AU  - Jun Liu
AU  - Wei He
AU  - Tingting Li
PY  - 2018/02
DA  - 2018/02
TI  - The Application of Data Mining Techniques in College Students Information System
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 353
EP  - 357
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.76
DO  - 10.2991/csece-18.2018.76
ID  - Liu2018/02
ER  -