The Application of Data Mining Techniques in College Students Information System
Yang Liu, Jingwei Chen, Jun Liu, Wei He, Tingting Li
Available Online February 2018.
- https://doi.org/10.2991/csece-18.2018.76How to use a DOI?
- date mining; decision tree algorithm; association rules mining algorithm; database application
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/csece-18.2018.76 DO - https://doi.org/10.2991/csece-18.2018.76 ID - Liu2018/02 ER -