基于一卡通数据分析的学生早餐习惯与成绩关联规则挖掘

Association rules between breakfast habits and scores of college students based on campus e-card records analysis

从一卡通用户消费记录中筛选出学生早饭就餐数据,使用数据规约、数据聚集、特征创建、离散化等预处理方式,抽取就餐次数、时间、时间标准差表征学生早餐特点。运用相关性分析和关联规则的方法对早餐习惯与成绩之间关系进行分析,发现以就餐次数和时间为主要特征的早餐习惯与成绩具有较强的相关性和可靠的关联规则。对教学管理部门而言,可以将分析结果应用到学习成绩预警过程性评价中,从而提高成绩预警的时效性。

Students＇ breakfast records were selected from e-card database and pre-processed by data protocol,data aggregation,feature creation and data discrete.Then eating frequency,time and time standard deviation of breakfast were extracted as student＇s breakfast characteristics and habits.Correlation analysis and association rules were used to analyze the relation between breakfast habits and students＇ scores.It was found that there exist strong correlations and reliable association rules.The results can be used by the teaching management department as process evaluation to improve the timeliness of academic warning.