📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 8, AUGUST 2016

Educational Data Mining For Evaluating Students Performance

Sampreethi P.K, VR. Nagarajan

DOI: 10.17148/IJARCCE.2016.5849

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