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Educational data mining - a case study

机译:教育数据挖掘-案例研究

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摘要

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.
机译:教育数据挖掘(EDM)是一个新兴的跨学科研究领域,致力于研究探索来自教育环境的数据的方法。 EDM使用计算方法来分析教育数据。在本文中,已经尝试提出一种系统,该系统构成了用于全面分析学生的九年数据的集成平台。 ETL过程(提取,清理,转换和加载)已使用帮助自定义的脚本工具执行。该工具还有助于找到新的关系并生成趋势分析报告。该分析可以帮助制定策略来提高学生加入该学院的新批次的表现。进一步的数据挖掘技术J48算法已应用于9年的数据,以使用WEKA查找模式。

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