World Journal of Computer Application and Technology Vol. 2(2), pp. 43 - 47
DOI: 10.13189/wjcat.2014.020203
Reprint (PDF) (416Kb)


Data Mining: A prediction for Student's Performance Using Classification Method


Abeer Badr El Din Ahmed 1, Ibrahim Sayed Elaraby 2,*
1 Lecturer at Sadat Academy, Computer Science Department, Cairo, Egypt
2 Demonstrator at Higher Institute for Specific Studies, Management Information System Department, Cairo, Egypt

ABSTRACT

Currently the amount huge of data stored in educational database these database contain the useful information for predict of students performance. The most useful data mining techniques in educational database is classification. In this paper, the classification task is used to predict the final grade of students and as there are many approaches that are used for data classification, the decision tree (ID3) method is used here.

KEYWORDS
Educational Data Mining (EDM), Classification, Knowledge Discovery in Database (KDD), ID3 Algorithm

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Abeer Badr El Din Ahmed , Ibrahim Sayed Elaraby , "Data Mining: A prediction for Student's Performance Using Classification Method," World Journal of Computer Application and Technology, Vol. 2, No. 2, pp. 43 - 47, 2014. DOI: 10.13189/wjcat.2014.020203.

(b). APA Format:
Abeer Badr El Din Ahmed , Ibrahim Sayed Elaraby (2014). Data Mining: A prediction for Student's Performance Using Classification Method. World Journal of Computer Application and Technology, 2(2), 43 - 47. DOI: 10.13189/wjcat.2014.020203.