数据挖掘在高校课程相关性中的应用研究  

Application and Research on Correlation Between Colleges Courses Based On Data Mining

作　　者：姚双良[1] 

机构地区：[1]江苏科技大学教务处,江苏镇江212003

出　　处：《科技通报》2012年第12期232-234,共3页Bulletin of Science and Technology

基　　金：江苏省教育科学重点资助课题(B-a/2009/01/011)

摘　　要：数据挖掘算法中的关联规则算法对大量数据的项集分,可以发现它们之间存在的有意义的关联。本文将改进的Apriori算法应用于高校教务管理系统,对历届学生各门课程成绩进行了分析,探讨了高等学校课程间的相关性问题,得出了具有一定可信度和支持度的课程相关性规则,可为现行教学计划的优化和学生选课提供决策支持。Association rules can be found from the large amounts of data items,using the association rules mining.The improving Apriori algorithm is applied to the Educational Management System.It analyzes the various courses of successive results,discusses the correlation between higher education curriculum issues,and drawn with the relevance of courses Rules of certain credibility and support.It provides decision support for optimization of the existing teaching programs and student elective.

关 键 词：数据挖掘 APRIORI算法 关联规则 课程相关性 

分 类 号：G237[文化科学]