摘要
主要研究了数据挖据关联规则中挖掘频繁项集的Apriori算法在教学平台中的应用,以学生进入课程中心进行学习的日志记录作为原始数据,采用Apriori算法分析知识网页间的关联,根据关联规则进行学习资源的个性化推荐,从而满足不同学生的学习需求。
This paper mainly studies the data digging, according to the association rules Apriori algorithm for mining frequent itemsets in the application of the teaching platform, into the heart of the course on the students to learn the logging as raw data, USES the Apriori algorithm analysis knowledge web page, the correlation between learning resources according to association rules of personalized recommendation, to meet different learning needs of students.
出处
《现代工业经济和信息化》
2016年第15期101-104,共4页
Modern Industrial Economy and Informationization
基金
山西工商学院《C语言程序设计精品课程建设项目管理研究》,编号:201549
