Analysis of Students Health Based on Association Rules

Abstract

Association rule mining is one of the most important techniques in data mining. According to the national standard of students’ health, the health condition of university student should be tested once every academic year. So a lot of testing data have been recorded in our university. This paper analyzes these data of freshman students by positive and negative association rules and finds lots interesting results. By analyzing these results, some suggestions are proposed to improve the students’ health condition, including targeted physical education teaching, establish a supervising system, and do exercises on own initiative.