Author(s)

Fang Yu

Corresponding Author

Fang Yu

Abstract

In this paper, by applying the Apriori algorithm to the analysis of students' academic situation, students' evaluation of teaching, teaching analysis and the analysis of reasonable curriculum settings in the mobile educational administration system, a great amount of valuable and useful information and association rules is obtained from the massive teaching data. These method of association rules is applied to the mobile educational administration system. This knowledge has important guiding significance for schools and teachers to better grasp students' learning situation and arrange courses reasonably.

Keywords

Data Mining, Mobile Educational Administration System, Association Rules Analysis