基于Apriori算法的课程关联性分析研究——以铁道供电技术专业为例

Research on course relevance analysis based on Apriori algorithm一Taking railway power supply technology major as an example

从学生成绩出发利用数据挖掘寻找隐藏在课程之间的关联关系,有利于科学优化专业课程体系。文章应用数据挖掘技术中的关联规则Apriori算法对柳州铁道职业技术学院2016级、2017级铁道供电技术专业的“2门专业基础课程十4门专业核心课程”展开了挖掘,探究了各课程之间的内在联系,并将挖掘結果应用于专业课程设置。

Using data mining to find the association between courses from students'scores is conducive to scientific optimization of professional curriculum system.The article uses the association rule Apriori algorithm in data mining technology to mine the"2 professional basic courses+4 professional core courses"of the 2016 and 2017 railway power supply technology majors of Liuzhou Railway Vocationa Technica College,explores the internal relationship between the courses,and applies the mining results to the professional curriculum settings.