An Enhancement of Feature Selection Algorithm for EDM: A Review

Educational Data Mining (EDM) is an emerging research area help the educational institutions to improve the performance of their students. Feature Selection (FS) algorithms remove irrelevant data from the educational dataset and hence increases the performance of classifiers used in EDM techniques....

Full description

Saved in:
Bibliographic Details
Published inInternational journal of advanced research in computer science and software engineering Vol. 8; no. 5; p. 29
Main Authors Kaur, Manpreet, Singh, Chamkaur
Format Journal Article
LanguageEnglish
Published 02.06.2018
Online AccessGet full text
ISSN2277-6451
2277-128X
DOI10.23956/ijarcsse.v8i5.661

Cover

More Information
Summary:Educational Data Mining (EDM) is an emerging research area help the educational institutions to improve the performance of their students. Feature Selection (FS) algorithms remove irrelevant data from the educational dataset and hence increases the performance of classifiers used in EDM techniques. This paper present an analysis of the performance of feature selection algorithms on student data set. .In this papers the different problems that are defined in problem formulation. All these problems are resolved in future. Furthermore the paper is an attempt of playing a positive role in the improvement of education quality, as well as guides new researchers in making academic intervention.
ISSN:2277-6451
2277-128X
DOI:10.23956/ijarcsse.v8i5.661