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Data Mining Application in Enrollment Management: A Case Study

by Surjeet Kumar Yadav, Saurabh Pal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 5
Year of Publication: 2012
Authors: Surjeet Kumar Yadav, Saurabh Pal
10.5120/5534-7581

Surjeet Kumar Yadav, Saurabh Pal . Data Mining Application in Enrollment Management: A Case Study. International Journal of Computer Applications. 41, 5 ( March 2012), 1-6. DOI=10.5120/5534-7581

@article{ 10.5120/5534-7581,
author = { Surjeet Kumar Yadav, Saurabh Pal },
title = { Data Mining Application in Enrollment Management: A Case Study },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 5 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number5/5534-7581/ },
doi = { 10.5120/5534-7581 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:28:48.094503+05:30
%A Surjeet Kumar Yadav
%A Saurabh Pal
%T Data Mining Application in Enrollment Management: A Case Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 5
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the last two decades, number of Higher Education Institutions (HEI) grows rapidly in India. This causes a cut throat competition among these institutions while attracting the student to get admission in these institutions. Most of the institutions are opened in self finance mode, so all time they feel short hand in expenditure. Therefore, institutions focused on the strength of students not on the quality of education. Indian education sector has a lot of data that can produce valuable information. Knowledge Discovery and Data Mining (KDD) is a multidisciplinary area focusing upon methodologies for extracting useful knowledge from data and there are several useful KDD tools to extract the knowledge. This knowledge can be used to increase the quality of education. But educational institution does not use any knowledge discovery process approach on these data. Now-a- day a new research community, educational data mining (EDM), is growing which is intersection of data mining and pedagogy. In this paper we present the data mining method for enrollment management for MCA course.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Knowledge Discovery Higher Education Enrollment Management Id3 Decision Tree

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