Teaching Analysis Based on Association Rule Mining

摘要：

Association rule in data mining could found interesting link between a large amounts of data set. Using the improved Apriori algorithm on analyzing the grades of students course, which revealed the relationship and influence on learning effect during each chapter, distinguish the key factors that affect their achievement After that we can conclude valuable information to provide guidance for improving teaching and learning effectiveness.

关键词： Association Rule Improved Apriori Algorithm Teaching Analysis

作者: Chen Weiyu JiaNan

作者单位: Beijing Wuzi University Beijing, China

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 1622-1624

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）