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

DOI

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.

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  - Shaorong Feng
PY  - 2015/06
DA  - 2015/06
TI  - Application Research of Data Mining in Grades Analysis and Course Correlation Analysis
BT  - Proceedings of the International Conference on Management, Computer and Education Informatization
PB  - Atlantis Press
SP  - 8
EP  - 12
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-15.2015.3
DO  - 10.2991/mcei-15.2015.3
ID  - Feng2015/06
ER  -