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Evaluation of Student Academic Performance using Improved Prism

by S. Umamaheswari, K.S. Divyaa
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 6
Year of Publication: 2015
Authors: S. Umamaheswari, K.S. Divyaa
10.5120/ijca2015907446

S. Umamaheswari, K.S. Divyaa . Evaluation of Student Academic Performance using Improved Prism. International Journal of Computer Applications. 131, 6 ( December 2015), 18-21. DOI=10.5120/ijca2015907446

@article{ 10.5120/ijca2015907446,
author = { S. Umamaheswari, K.S. Divyaa },
title = { Evaluation of Student Academic Performance using Improved Prism },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 6 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number6/23453-2015907446/ },
doi = { 10.5120/ijca2015907446 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:33.283703+05:30
%A S. Umamaheswari
%A K.S. Divyaa
%T Evaluation of Student Academic Performance using Improved Prism
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 6
%P 18-21
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining techniques (DMT) are extensively used in educational field to find new hidden patterns from student’s data. Today, one of the main challenges that educational institutions face is the explosive growth of educational data of students and to use this data to improve the quality of decision-making. The study’s curiosity is in predicting the paths of students, thus identifying the student achievement. This paper takes consideration with the various factors on student performance in education in order to analyse the student achievement is high over schooling or in graduation.

References
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Index Terms

Computer Science
Information Sciences

Keywords

DMT KDD EDM

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