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Understanding the Postgraduate Education Market for Better Marketing and Decision Making: A Clustering Analysis

by Ali Marstawi, Aida Mustapha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 12
Year of Publication: 2014
Authors: Ali Marstawi, Aida Mustapha
10.5120/15930-5231

Ali Marstawi, Aida Mustapha . Understanding the Postgraduate Education Market for Better Marketing and Decision Making: A Clustering Analysis. International Journal of Computer Applications. 91, 12 ( April 2014), 1-5. DOI=10.5120/15930-5231

@article{ 10.5120/15930-5231,
author = { Ali Marstawi, Aida Mustapha },
title = { Understanding the Postgraduate Education Market for Better Marketing and Decision Making: A Clustering Analysis },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 12 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number12/15930-5231/ },
doi = { 10.5120/15930-5231 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:12:31.947075+05:30
%A Ali Marstawi
%A Aida Mustapha
%T Understanding the Postgraduate Education Market for Better Marketing and Decision Making: A Clustering Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 12
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Enhancing the educational corporations is truly challenging mission due to the highly competitive nature of the business. Currently, there is emerging development within organizations to capitalize on their internal resources. This paper is taking data mining approach to strategize marketing for postgraduate studies by means of cluster analysis. The experiments were carried out using Oracle Data Miner tool, results are analyzed and discussed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Oracle Data Miner Statistical Analysis K-means Clustering

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