Title :
Predicting NDUM Student´s Academic Performance Using Data Mining Techniques
Author :
Wook, Muslihah ; Yahaya, Yuhanim Hani ; Wahab, Norshahriah ; Isa, M.R.M. ; Awang, Nor Fatimah ; Seong, Hoo Yann
Author_Institution :
Dept. of Comput. Sci., Nat. Defence Univ. of Malaysia, Kuala Lumpur, Malaysia
Abstract :
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).
Keywords :
data mining; decision trees; further education; neural nets; pattern classification; pattern clustering; Computer Science Department; Faculty of Science and Defence Technology; NDUM student academic performance prediction; National Defence University of Malaysia; artificial neural network; clustering technique; data mining techniques; decision tree classification; higher education; institution educational system; Application software; Artificial neural networks; Classification tree analysis; Computer science; Computer science education; Data mining; Decision trees; Educational technology; Instruction sets; Statistics; artificial neural network; clustering; data mining; decision tree;
Conference_Titel :
Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-5365-8
Electronic_ISBN :
978-0-7695-3925-6
DOI :
10.1109/ICCEE.2009.168
