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

Volume

2

fYear

2009

fDate

28-30 Dec. 2009

Firstpage

357

Lastpage

361

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICCEE.2009.168

Filename

5380417