Research on Early-Warning Model of Students' Academic Records Based on Association Rules
Li Zhu, Yanli Li, Xiang Li · 2009
Association rules is an important research direction of data mining. Its study is mostly concentrated on improving algorithm efficiency presently, but neglects userspsila understanding and participating in excavating course. Studentspsila historical academic records stored in university's educational administration systems was taken as data source, the paper established interactive visible mining model based on classical association rules, and introduced objective interest degree and subjective interest degree. Experiment results show that model built was feasible and meaningful; it could help us improve teaching management and personnel trainingspsila quality.