摘要
应用关联规则挖掘对高校课程相关性进行了研究.将某高校的毕业生成绩数据库经过预处理之后,采用不设定成绩界限的方法,用改进的Apriori算法进行挖掘.不仅能挖掘出成绩为优时的课程相关规则,还能发现若某些课程成绩差,则其他课程成绩也为差的规则,可以为学分制体系下学生选课和管理者进行决策等提供参考.
By using mining association rules,correlations between courses were studied. Not using method of achievement limit and using the improved Apriori algorithm,the achievement database of students can provide some interesting rules ot correlation between courses of excellent grade after pretreatment. At the same time,the rules that some courses of low grade are the cause of other courses of low grade were discovered. The results can guide the students to select subjects and help the leaders to make decision.
出处
《天津科技大学学报》
CAS
2009年第4期73-75,共3页
Journal of Tianjin University of Science & Technology
关键词
数据挖掘
关联规则
最小支持度
课程相关性
data mining
association rules
minimum support
correlation between courses
