Proceedings of the International Conference on Management, Computer and Education Informatization

Application Research of Data Mining in Grades Analysis and Course Correlation Analysis

Authors
Shaorong Feng
Corresponding Author
Shaorong Feng
Available Online June 2015.
DOI
https://doi.org/10.2991/mcei-15.2015.3How to use a DOI?
Keywords
Data mining; Decision tree; Information gain rate; Grades analysis; Correlation analysis
Abstract
Concerning the shortcomings of C4.5 algorithm, we put forward an improved one. This approach can improve the efficiency to generate the decision trees by reducing the computation complexity of information gain ratio. By applying the improved C4.5 decision tree algorithm to course grades analysis and course correlation analysis, we are able to provide powerful references that data mining is beneficial to improve teaching plan, which is also able to improve teaching quality.
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Proceedings
International Conference on Management, Computer and Education Informatization
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-6252-118-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/mcei-15.2015.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shaorong Feng
PY  - 2015/06
DA  - 2015/06
TI  - Application Research of Data Mining in Grades Analysis and Course Correlation Analysis
BT  - International Conference on Management, Computer and Education Informatization
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-15.2015.3
DO  - https://doi.org/10.2991/mcei-15.2015.3
ID  - Feng2015/06
ER  -