The Application of DM in University Admissions Decision Making

DOI

10.2991/scict-14.2014.37How to use a DOI?

Keywords

data mining; admissions; clementine; decision tree; association rules

Abstract

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.

Copyright

© 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/).

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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  -