|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 74 - Number 5
|Year of Publication: 2013
|Authors: Sumit Garg, Arvind K. Sharma
Sumit Garg, Arvind K. Sharma . Comparative Analysis of Various Data Mining Techniques on Educational Datasets. International Journal of Computer Applications. 74, 5 ( July 2013), 1-5. DOI=10.5120/12878-9673
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.