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DOI: 10.14569/IJACSA.2011.020314
PDF

An Empirical Study of the Applications of Data Mining Techniques in Higher Education

Author 1: Dr. Varun Kumar
Author 2: Anupama Chadha

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 3, 2011.

  • Abstract and Keywords
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Abstract: Few years ago, the information flow in education field was relatively simple and the application of technology was limited. However, as we progress into a more integrated world where technology has become an integral part of the business processes, the process of transfer of information has become more complicated. Today, one of the biggest challenges that educational institutions face is the explosive growth of educational data and to use this data to improve the quality of managerial decisions. Data mining techniques are analytical tools that can be used to extract meaningful knowledge from large data sets. This paper addresses the applications of data mining in educational institution to extract useful information from the huge data sets and providing analytical tool to view and use this information for decision making processes by taking real life examples.

Keywords: Higher education, Data mining, Knowledge discovery, Classification, Association rules, Prediction, Outlier analysis.

Dr. Varun Kumar and Anupama Chadha, “ An Empirical Study of the Applications of Data Mining Techniques in Higher Education” International Journal of Advanced Computer Science and Applications(IJACSA), 2(3), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020314

@article{Kumar2011,
title = { An Empirical Study of the Applications of Data Mining Techniques in Higher Education},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.020314},
url = {http://dx.doi.org/10.14569/IJACSA.2011.020314},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {3},
author = {Dr. Varun Kumar and Anupama Chadha}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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