Educational Data Mining For Evaluating Students Performance
Abstract: Now a day�s many organizations/institutions provides different courses to students. It provides quality education to its students. So such institutions keep large database with them to evaluate student�s performance in future. Database may contains information such as students personnel information, their secured marks for every subjects and their internal scores based on their academic performance etc. �Educational Data Mining For Evaluating Students Performance� research paper makes use of different kinds of data such as attendance details, previous semester marks, seminar performance etc to evaluate student�s academic performance. Classification methods are used here to evaluate the student�s performance. Here uses data mining algorithm to calculate performance metrics. In this paper using ID3 decision tree algorithm for predicting the student performance.
Keywords: Datamining, ID3 Algorithm, Gain Ratio.
How to Cite:
[1] Sampreethi P.K, VR. Nagarajan, “Educational Data Mining For Evaluating Students Performance,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5849
