The Application Research on Apriori Algorithm in Analysis of Student Scores in University

摘要：

There are large quantity of data about students scores in each college and university, but the useful information got from these data is relatively not enough, it lead to a immensely waste of resource. Using data mining technology to analyze student score is a good way for this problems resolve. Apriori algorithm which is a kind of association rules mining algorithm in data mining technology is this papers primary study. Based on students score history database, Apriori algorithm is applied to mining the correlative relations of courses for students understanding each courses learning feature, and for academic department arranging courses. The actual examples have proved that this method is effective on student score analyzing, it should have a broad application prospect.

关键词： Data mining Apriori algorithm Minimum support Minimum confidence Score analysis

作者: Xu Tongyu Yang Hongwei

作者单位: Department of Information and Electric Engineering University of Shenyang Agriculture Shenyang, Liaoning Province, China

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 518-521

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）