Educational data mining - a case study
by Saurabh Manek; Saurav Vijay; Deepali Kamthania
International Journal of Information and Decision Sciences (IJIDS), Vol. 8, No. 2, 2016

Abstract: Educational data mining (EDM) is an emerging interdisciplinary research area that deals with the development of methods to explore data originating in an educational context. EDM uses computational approaches to analyse educational data. In this paper, an attempt has been made to propose a system that constitutes an integrated platform for thorough analysis of student's nine years data. The ETL process (extraction, cleaning, transforming and loading) have been performed with the help customised scripted tool. The tool also helps in finding new relations and generating reports for trend analysis. This analysis can help in planning strategies to improve student's performance of the new batches joining the institute. Further data mining technique J48 algorithm has been applied on nine years data to find patterns by using WEKA.

Online publication date: Wed, 11-May-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information and Decision Sciences (IJIDS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com