The Application of DM in University Admissions Decision Making
Zaixun Guo, Liying Fang, Lei Yu, Hang Su, Zhifeng Liu
Available Online May 2014.
- 10.2991/scict-14.2014.37How to use a DOI?
- data mining; admissions; clementine; decision tree; association rules
With the purpose of extracting potential knowledge from the vast amounts of data, as well as providing auxiliary information for decision making for college admissions departments, in this paper, based on SPSS 12.0 software clementine, it mainly uses C5.0 decision tree algorithm and association rules Apriori algorithm to study the college entrance examination enrollment data, students’ performance in college and employment data. It mainly focuses on the data preparation process, and shows the mining process aimed at two different goals and the valuable information dug out during these processes. The results of study shows that this kind of information can provide decision making for the department in charge of admissions.
- © 2014, 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 - Zaixun Guo AU - Liying Fang AU - Lei Yu AU - Hang Su AU - Zhifeng Liu PY - 2014/05 DA - 2014/05 TI - The Application of DM in University Admissions Decision Making BT - Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology PB - Atlantis Press SP - 154 EP - 159 SN - 1951-6851 UR - https://doi.org/10.2991/scict-14.2014.37 DO - 10.2991/scict-14.2014.37 ID - Guo2014/05 ER -