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基于改进Apriori算法的高校学生成绩预警系统的研究 被引量:4

Research on Early Warning System of College Student Achievement Based on Improved Apriori Algorithm
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摘要 高校学生成绩预警系统是高校教务系统的重要构成部分,研究高校学生成绩预警问题在理论层面和实践层面均具有重要价值。一般而言,成绩预警涉及多种技术,而关联算法是最为核心的技术之一。作为关联算法中应用最为广泛的Apriori算法本身具备一定的缺陷性,本文将在阐述Apriori算法的基本特点及其缺陷的基础上,提出改进的Apriori算法,利用改进的Apriori算法对学生成绩进行挖掘分析,发现不同学科之间的关联关系,并给老师及管理决策者提供指导,帮助老师及时调整课程内容,对可能出现不及格的部分学生提出警告,督促他们学习,提高教学质量。 The early warning system of college students achievement is an important part of the college teaching system,it has a great value to study the problem of early warning of college students' achievement,both in theory and practice. In general,early warning of achievement involves a variety of technologies. The association algorithm is one of the most important contents. As the most widely used Apriori algorithm,the Apriori algorithm has certain defects. In this paper,on the basis of expounding the basic characteristics and defects of the Apriori algorithm,we will put forward an improved Apriori algorithm,and use the improved Acriori algorithm to mine students 'achievements,find out the relationship between different disciplines,and provide guidance to teachers and management decision makers,help teachers adjust the content of the curriculum in time,warn some students who may fail,urge them to study and improve the quality of teaching.
作者 都娟 翟社平 DU Juan;ZHAI Sheping(Xi'an University of Post and Telecommunications,School of Computer Science&Technology,Xi'an 710121,China)
出处 《现代信息科技》 2018年第2期108-109,112,共3页 Modern Information Technology
关键词 数据挖掘 关联规则 APRIORI算法 学生成绩 data mining association rules apriori algorithm student performance
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