Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

Data Based College Students' Comprehensive Quality Evaluation System

Authors
L. Li, Z. Ou, S.M. Yao, Q.J. Chen
Corresponding Author
L. Li
Available Online July 2015.
DOI
10.2991/aiie-15.2015.106How to use a DOI?
Keywords
comprehensive quality evaluation; data mining; Apriori; association rules
Abstract

As EQO(Essential Qualities Oriented) education has become consensus of society, the evaluation of college students’ comprehensive quality stands at the vital position in the work of educational workers. First college students' comprehensive quality evaluation system is built based on some University’s information system. Then framework of comprehensive quality evaluation system is designed. Finally, an application based on the framework is accomplish with the database technology and data mining technology. The complete of the application, which works as an auxiliary of related departments’ decision-making, shows the process of realizing the framework.

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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Volume Title
Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-70-7
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.106How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - L. Li
AU  - Z. Ou
AU  - S.M. Yao
AU  - Q.J. Chen
PY  - 2015/07
DA  - 2015/07
TI  - Data Based College Students' Comprehensive Quality Evaluation System
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 387
EP  - 390
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.106
DO  - 10.2991/aiie-15.2015.106
ID  - Li2015/07
ER  -