The Knowledge Representation Of The Program Analysis Using Decision Tree Data Mining Technique

CHATKLAW, JAREANPON and SASITORN, KAEWMAN (2014) The Knowledge Representation Of The Program Analysis Using Decision Tree Data Mining Technique. In: International Conference on Advances in Computer and Electronics Technology - ACET 2014, 26 - 27 August, 2014, City University of Hongkong, Hongkong.

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Abstract

The Education Data Mining (EDM) is the data mining for analyzing the data from and for education. This paper proposed the framework to analysis the undergraduate program. The selected data mining technique is the well-known Decision Tree Data Mining Technique. This result of this proposed is able to analysis the major subjects that will effect with the student and the registered planning. Moreover, the course management is able to plan the relationship and the program. The experimental result tested from computer simulation from real registration data and grade of department of Informatics, Mahasarakham University shows that the knowledge representation of the program analysis using Decision Tree Data Mining Technique is very well. The average accuracy from k-fold cross validation is 74.05%.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Knowledge Representation, Program Analysis, Decision Tree, Data Mining Technique.
Depositing User: Mr. John Steve
Date Deposited: 28 May 2019 09:27
Last Modified: 28 May 2019 09:27
URI: http://publications.theired.org/id/eprint/2875

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