Predicting NDUM Student's Academic Performance Using Data Mining Techniques
Muslihah Wook, Yuhanim Hani Yahaya, Norshahriah Abdul Wahab, Mohd Rizal Mohd Isa, Nor Fatimah Awang, Hoo Yann Seong · 2009
The ability to predict the students' academic performance is very important in institution educational system. Recently some researchers have been proposed data mining techniques for higher education. In this paper, we compare two data mining techniques which are: Artificial neural network (ANN) and the combination of clustering and decision tree classification techniques for predicting and classifying students' academic performance. The data set used in this research is the student data of Computer Science Department, Faculty of Science and Defence Technology, National Defence University of Malaysia (NDUM).