摘要
数据挖掘技术作为一种数据分析手段,已经逐渐为人们所熟悉,但是在教学管理中的应用相对较少。针对学生选课系统实际情况,应用扩展型关联规则的Apriori算法进行数据挖掘,实践表明,该算法在学生选课数据中的分析是非常有效的。
Data mining technology, as a means of data analysis, has been gradually familiarized, but its application in teaching management is relatively less. In connection with the actual circumstances of student elective system of our school, the Apriori extended association rule algorithm is used for data mining, the practice shows that the algorithm is very effective in the student elective data analysis.
出处
《廊坊师范学院学报(自然科学版)》
2009年第6期39-40,44,共3页
Journal of Langfang Normal University(Natural Science Edition)
关键词
教育信息化
数据挖掘
扩展型关联规则
APRIORI算法
选课
educational informationization
data mining
extended association rule
Apriori algorithm
student elective