Research on Physical Fitness Test Data Mining and Analysis Based on Apriori Algorithm

Abstract

Based on the analysis of the characteristics of Apriori algorithm, this paper uses the iterative method of layer by layer search to find out the relationship of item sets in the students’ body measurement database to form the mining model of association rules. The model maximizes the generation of candidate sets, reduces the size of frequent sets, and achieves good performance. At the same time, the average GM (1,1) model is constructed by the accumulation of the original sequence and the least square estimation of the parameters, as well as the whitening differential equation form, to predict the trend of College Students’ physique change in the future, and the research shows that the error of the model is small and the precision is high.