利用Apriori算法对医学生成绩进行课程关联性分析

摘要

In teaching management of institutions of higher learning, achievement management is of great importance. Analyzing the achievement data to uncover the valuable laws hidden in achievement data can help teaching decisions and have important guiding significance for such aspects as major building, establishment of training program, curriculum setting, and teaching management. This paper mainly utilizes Apriori algorithm to analyze students’ achievements and uncover the mutual laws among relevant courses’ achievements.%在高校教学管理中，成绩管理非常重要。通过分析成绩数据，挖掘出隐含在成绩数据中的有价值的规律，能辅助教学决策，对专业建设、培养方案制定、课程设置、教学管理等方面具有重要的指导意义。主要运用 Apriori 算法对学生成绩进行分析，挖掘出有关联性的课程成绩之间的相互规律。