摘要
关联规则挖掘是数据挖掘领域的一个重要课题,本文介绍了在数据挖掘中关联规则的基本概念和与理论,进一步讨论了关联规则在课程相关性挖掘中的应用。学生成绩库在经过一定的预处理后,用Apriori算法挖掘出隐藏在数据背后的有用规则,以指导学生的选课。
Mining association rules are an important data mining problem. In this paper, the conception and the theory of association rules are given. And the application of the association rules about correlation among the courses is untroduced. Using the algorithm apriori, the achievement database of student can provide some interestiong rules after pretreatment, which helps to guide the students to select subjects.
出处
《计算机与数字工程》
2006年第9期173-176,共4页
Computer & Digital Engineering
关键词
数据挖掘
关联规则
预处理
课程相关性
data mining, association rules, pretreatment,correlation among the courses
