Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

The Research and Application of Improved Decision Tree Algorithm in University Performance Analysis

Authors
Wushi Gao, Yunfeng Dong, Kan Li
Corresponding Author
Wushi Gao
Available Online March 2013.
DOI
10.2991/iccsee.2013.25How to use a DOI?
Keywords
Decision tree, ID3 algorithm, performance analysis
Abstract

with the promoting of education informationization process, more and more complex data is accumulated, the data mining techniques used in education. The work, that finding in hidden and useful information to guide education from large number of educational data, will be helpful to the education reform and development. This article proposes one kind of improvement ID3 algorithm, this algorithm simplified information entropy solution, which is the standard of attribute selection and reduced complication of calculation. Its application to analysis of university students performance will find out the influence of implicit factors, improve the quality of teaching.

Copyright
© 2013, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.25
ISSN
1951-6851
DOI
10.2991/iccsee.2013.25How to use a DOI?
Copyright
© 2013, 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  - Wushi Gao
AU  - Yunfeng Dong
AU  - Kan Li
PY  - 2013/03
DA  - 2013/03
TI  - The Research and Application of Improved Decision Tree Algorithm in University Performance Analysis
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 97
EP  - 100
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.25
DO  - 10.2991/iccsee.2013.25
ID  - Gao2013/03
ER  -