摘要
关联规则挖掘是数据挖掘领域研究的热点问题,其中Apriori算法是经典的关联规则算法。将关联规则Apriori算法应用到学生成绩分析中,挖掘出课程与课程之间的相互关系,寻找各方面影响学生成绩的因素,发现隐藏在数据背后有价值的信息,从而为学生选课和教师教学以及教学管理工作等提供辅助性的建议与决策。
Association rule mining is a hot topic in the field of data mining. Apriori algorithm is a classical association rule algorithm.This paper applies the association rule apriori algorithm to analyze student achievement data, digs out the relationship between the course and the curriculum, finds out the factors that affect the student achievement in all aspects, and finds the hidden information behind the data,so as to provide supplementary advice and decision-making for student course selection, teacher teaching and teaching management.
出处
《价值工程》
2018年第5期171-173,共3页
Value Engineering
