教育数据挖掘-一个案例研究

Saurabh Manek, S. Vijay, Deepali Kamthania
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引用次数: 20

摘要

教育数据挖掘(EDM)是一个新兴的跨学科研究领域,涉及探索源自教育背景的数据的方法的发展。EDM使用计算方法来分析教育数据。本文试图提出一个系统,构成一个综合平台,对学生九年的数据进行深入分析。ETL过程(提取、清理、转换和加载)已经通过帮助定制的脚本工具执行。该工具还有助于查找新的关系并生成用于趋势分析的报告。这种分析可以帮助制定策略,以提高新一批加入学院的学生的表现。进一步的数据挖掘技术J48算法应用于9年的数据,通过使用WEKA找到模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Educational data mining - a case study
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.
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