Data Mining and Web Technology- Based Sports Development Strategy Analysis

The present condition of sports growth has run into a few complications. This paper develops a sports development system based on data mining and Web technology to improve conventional image technology in order to promote national sports and increase the impact of school physical education. This paper analyses the matrix model's reconstruction principle, the mechanism of reconstruction noise introduction and suppression, and obtains two reconstruction algorithm ideas to eliminate reconstruction noise. This paper suggests a new reconstruction algorithm as a sports image processing algorithm on this basis. Furthermore, this paper integrates real-world requirements for developing a sports development system based on data mining and Web technology. The technology can mine data to analyze user information, provide customized recommendations, and guide users' online sports training. Finally, this paper devises an experiment to validate the system's performance. The research findings indicate that the system developed in this paper meets the expected characteristics.

Automated summary

This paper develops a sports development system based on data mining and Web technology in order to improve conventional image technology for promoting national sports and enhancing the impact of school physical education. The paper analyzes the reconstruction principle of the matrix model, the introduction and suppression mechanism of reconstruction noise, and proposes two reconstruction algorithm ideas to eliminate reconstruction noise. A new reconstruction algorithm is suggested as a sports image processing algorithm, and the system also integrates real-world requirements for developing a sports development system based on data mining and Web technology. The system can mine data to analyze user information, provide customized recommendations, and guide users' online sports training.