|Communications on Applied Electronics|
|Foundation of Computer Science (FCS), NY, USA|
|Volume 1 - Number 5|
|Year of Publication: 2015|
|Authors: Ayinde A.q, E.o Omidiora, A.b Adetunji|
Ayinde A.q, E.o Omidiora, A.b Adetunji . Comparative Analysis of Selected Classifiers in Mining Students� Educational Data. Communications on Applied Electronics. 1, 5 ( April 2015), 5-8. DOI=10.5120/cae-1533
Educational data mining is concerned with developing methods that discover knowledge from educational databases. Many predictive classifiers have been applied in mining educational data with less emphasis on their performance evaluation in order to determine the most efficient. In this study, a comparative analysis of three predictive classifiers for mining educational data was conducted.