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Comparative Analysis of Selected Classifiers in Mining Students� Educational Data

by Ayinde A.q, E.o Omidiora, A.b Adetunji
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
10.5120/cae-1533

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

@article{ 10.5120/cae-1533,
author = { Ayinde A.q, E.o Omidiora, A.b Adetunji },
title = { Comparative Analysis of Selected Classifiers in Mining Students� Educational Data },
journal = { Communications on Applied Electronics },
issue_date = { April 2015 },
volume = { 1 },
number = { 5 },
month = { April },
year = { 2015 },
issn = { 2394-4714 },
pages = { 5-8 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume1/number5/327-1533/ },
doi = { 10.5120/cae-1533 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T18:37:37.071568+05:30
%A Ayinde A.q
%A E.o Omidiora
%A A.b Adetunji
%T Comparative Analysis of Selected Classifiers in Mining Students� Educational Data
%J Communications on Applied Electronics
%@ 2394-4714
%V 1
%N 5
%P 5-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Comparative Analysis Selected Classifiers Instance Based Learning Lazy Classifier.