Predicting NDUM Student's Academic Performance Using Data Mining Techniques

被引：23

作者：

Wook, Muslihah ^{[1
]}

Yahaya, Yuhanim Hani ^{[1
]}

Wahab, Norshahriah ^{[1
]}

Isa, Mohd Rizal Mohd ^{[1
]}

Awang, Nor Fatimah ^{[1
]}

Seong, Hoo Yann ^{[1
]}

机构：

[1] Natl Def Univ Malaysia, Dept Comp Sci, Fac Sci & Def Technol, Kuala Lumpur 57000, Malaysia

来源：

SECOND INTERNATIONAL CONFERENCE ON COMPUTER AND ELECTRICAL ENGINEERING, VOL 2, PROCEEDINGS | 2009年

关键词：

data mining; clustering; decision tree; artificial neural network;

D O I：

10.1109/ICCEE.2009.168

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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).

引用

页码：357 / 361

页数：5

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