利用数据挖掘技术分析学生成绩

I. Elaraby
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引用次数: 0

摘要

教育机构是社会的重要组成部分之一,对任何一个国家的成长和发展都起着至关重要的作用。数据挖掘是一种新兴的技术,它可以有效地从历史数据中学习,并利用所获得的知识来预测相关领域的未来行为。如果将数据挖掘作为一种未来的战略管理工具,那么当前教育系统的增长肯定会得到促进。数据挖掘工具能够在学生成绩、课程开发以及国家教育相关标准的制定方面更好地利用资源。本文重点讨论了数据挖掘在教育背景下的能力,并比较了三种最常用的数据挖掘技术(ID3, C4.5和REPTree)。索引术语/
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Data Mining Technique to Analyze Student's Performance
Educational organizations are one of the important parts of our society and playing a vital role for growth and development of any nation. With the help of Data Mining, which is an emerging technique, one can efficiently learn from historical data and use that obtained knowledge for predicting future behaviour of concern areas. Growth of current education system is surely enhanced if Data Mining has been adopted as a futuristic strategic management tool. The Data Mining tool is able to facilitate better resource utilization in terms of student performance, course development and finally the development of nation's education related standards. This paper focuses on capabilities of data mining in context of education, Also it compare three of the most common data mining techniques (ID3, C4.5 and REPTree). Indexing terms/
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