Apriori算法在高校学业管理中的应用

为了把握大学生进入高校之前的学业倾向,文章基于WEKA软件环境,运用Apriori算法,对高校学生历史数据进行挖掘,发掘影响学生学习效果的主要因素,剖析个体基本属性与成绩属性之间的关联性,预测某些属性会使学生的学习产生障碍,提高学业管理的针对性与时效性。

The Application of Apriori Algorithm in Academic Management

In order to grasp,students＇academic study tendency before their beginning study,using the Apriori algorithm of the data mining technology,the paper researched on college students＇historical data in WEKA software environment,and found the main factors influencing the students＇learning effects and the main connections between individual basic attributes and result attributes.Then predicted that the certain attributes can make students＇learning difficultly,so we give the students having these attributes more active care.It also can improve the pertinence and timeliness of academic management.