Application of C4.5 algorithm in graduate enrollment

DOI

10.2991/amcce-15.2015.239How to use a DOI?

Keywords

C45 algorithm; Decision Tree; Enrollment; The rate of first wish

Abstract

In order to improve the rate of first wish, we propose that the C4.5 decision tree classification algorithm is applied to a college graduate enrollment. The candidate information is processed, decision attributes are selected and decision tree is constructed. From extracting rules, it can acquire the relationship between candidates first wish, hometown area, candidates sources, the first test scores and graduate institution. The result shows that the algorithm can classify graduate institution well. It can support admissions officers to more effectively develop brochures and target for admission propaganda, thereby raising the rate of first wish.

Copyright

© 2015, 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  - Juan Huang
PY  - 2015/04
DA  - 2015/04
TI  - Application of C4.5 algorithm in graduate enrollment
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.239
DO  - 10.2991/amcce-15.2015.239
ID  - Huang2015/04
ER  -