Application of Association Rules Mining in the System of University Teaching Appraisal

摘要

A large amount of data has accumulated in teaching appraisal that must be done every semester among most universities. In order to find out the law or model hidden in these data, the Data Mining technology should be used fully. This thesis introduces the application of Association Rules Mining in the teaching appraisal, which can effectively guide the teaching work by finding out the intrinsic association rules between the effectiveness of classroom teaching and teachers' age and title.