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Comparative Analysis of Various Data Mining Techniques on Educational Datasets

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 74 - Number 5
Year of Publication: 2013
Sumit Garg
Arvind K. Sharma

Sumit Garg and Arvind K Sharma. Article: Comparative Analysis of Various Data Mining Techniques on Educational Datasets. International Journal of Computer Applications 74(5):1-5, July 2013. Full text available. BibTeX

	author = {Sumit Garg and Arvind K. Sharma},
	title = {Article: Comparative Analysis of Various Data Mining Techniques on Educational Datasets},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {74},
	number = {5},
	pages = {1-5},
	month = {July},
	note = {Full text available}


Data mining is a relatively young and interdisciplinary field of computer science. It is a process that attempts to discover new patterns in large data sets. Different types of mining algorithms have been proposed by different researchers in recent years. A single algorithm may not be applied to all applications due to difficulty for suitable data types of the algorithm. Therefore the selection of a correct data mining algorithm depends on not only the goal of an application, but also on the compatibility of the data set. The aim of this paper is how to use suitable data mining algorithms on educational dataset. This paper focuses on comparative analysis of various data mining techniques and algorithms.


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