Rules Mining of Sports Training Data Management Based on Fuzzy Clustering Algorithm

The application of scientific training theory and sports training means to the management of college students' sports training can effectively improve the physical quality of college students. In order to solve the shortcomings of the existing research on sports training data management, this paper discusses the association rule mining algorithm, data mining objects and sports application decision support system, as well as fuzzy clustering algorithm, and investigates and discusses the establishment of knowledge base and data mining tools. A mining model of sports training data management rules based on fuzzy clustering algorithm is established. The experimental data show that the running time of the algorithm decreases with the support, and the running time is only 30s when the support is 0.3. Therefore, it is verified that the algorithm has a good effect in the mining of sports training data management rules.

I. Introduction

For a long time, the monotony of courses and training items has led to the lack of scientific sports training methods and the inability to come up with specific exercise items and methods for the students' own physical quality. As a result, the training effect is not ideal, and the students have less interest in physical exercise. This affects the improvement of students' physical quality to a large extent. In this way, it is necessary to explore a scientific way of physical training and education.