摘要
通过对关联规则经典算法Apriori的分析,并应用到选课分析系统中,发现了存在的问题.通过增加兴趣度阈值以提高关联规则在数据挖掘中的精度,从而有效的减少了无用规则的产生,为学生选课系统的实现提供了较好的支持.
By analyzing the classic algorithm of association rules and using in course-selecting system, some problems are found. Through increasing interesting threshold the precision of association rules can be improved in data mining, accordingly the useless rules are reduced effectively,which is very useful for the implementation of curse-selecting system.
出处
《内蒙古大学学报（自然科学版）》
CAS
CSCD
北大核心
2009年第2期199-202,共4页
Journal of Inner Mongolia University：Natural Science Edition
基金
辽宁省教育厅科学技术研究项目(2008314)
关键词
数据挖掘
关联规则
兴趣度
选课
data mining
association rules
interesting
course-selecting
