基于兴趣度的关联规则在学生成绩中的应用

对关联规则中Apriori算法的分析,并将其应用到学生成绩中,得到了一些先前未知的,有价值的信息,但同时又有一些无用甚至错误的规则出现,通过对关联规则的改进:加入了兴趣度阀值,提高了关联规则在数据挖掘中的精度,并且减少了无用,错误规则的产生,为学生成绩的分析提供了很好的支持。

Application of the Association Rules Based on Interesting in Student's Result

This paper analysis Apriori algorithm of association rules which is applied to student achievement system,and get some previously unknown and valuable information,but meanwhile there are also some of the rules appear useless or even wrong by using this method,this paper improved the association rules: Adding the interest measure threshold.And the experiences present that this method can improve the accuracy of result by using association rules in data mining and reduce the useless,wrong rules generation fro...