An Algorithm of Association Rules for Exploring Defects of College Teaching

摘要：

The teaching appraisal must be done every semester in most of the universities. There are large amounts of data accumulated. In order to find out the relevance between individual background of a teacher and his teaching performance, this thesis introduces an algorithm based on multidimensional Association Rules Mining, which has explored teaching defects when there are the individual differences and use the verdict to guide teachers’ work.

关键词： Data Mining Association Rules Teaching Appraisal Support Confidence

作者: Weixiao Gao Junfei Gai

作者单位: Information & Technology CollegeHebei University of Economics & BusinessShijiazhuang China. Information & Technology College Hebei University of Economics & Business Shijiazhuang China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）