Title: Educational data mining - a case study

Authors: Saurabh Manek; Saurav Vijay; Deepali Kamthania

Addresses: Bhartia Vidyapeeth's Institute of Computer Applications and Management, A-4 Paschim Vihar, Rohtak Road New Delhi-110063, India ' Bhartia Vidyapeeth's Institute of Computer Applications and Management, A-4 Paschim Vihar, Rohtak Road New Delhi-110063, India ' Bhartia Vidyapeeth's Institute of Computer Applications and Management, A-4 Paschim Vihar, Rohtak Road New Delhi-110063, India

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.

Keywords: educational data mining; EDM; extraction; cleaning; transforming; loading; classification; decision trees; student performance; data mining; higher education.

DOI: 10.1504/IJIDS.2016.076517

International Journal of Information and Decision Sciences, 2016 Vol.8 No.2, pp.187 - 201

Received: 08 Sep 2014
Accepted: 11 Mar 2015
Published online: 11 May 2016 *

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