为了便于对学生体质健康测试数据进行分析,将数据挖掘技术应用在其中。采用FP-Growth算法对学生体质健康测试数据进行处理,选取陕西省6所大学为研究对象,设置最小支持度和最小置信度找到关联规则,根据关联规则分析学生的体质情况,以便制定相关措施提升我国大学生的体质。 In order to facilitate the analysis of students’ physical health test data, data mining technology is applied to them. The FP-Growth algorithm was used to deal with the data of students ’physical health test. Six universities in Shaanxi Province were selected as the research objects. The minimum support and the minimum confidence were set to find the association rules. The association rules were used to analyze the students’ physical condition so as to make relevant measures to improve The constitution of college students in our country.