Analysis and Research of the Personalized Practice Platform for School-Enterprise Integration Based on Big Data

In view of the limitations of the traditional support vector machine in the analysis and research of the school-enterprise integration personalized practice platform, an analysis and research scheme of the school-enterprise integration personalized practice platform based on big data was proposed. Firstly, the influencing factors is accurately located through the data set theory, and the indicators is reasonably divided to reduce interference, and the analysis and research scheme of the school-enterprise integration personalized practice platform is constructed by using big data. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional support vector machine in terms of analysis and research accuracy and processing time of influencing factors of the school-enterprise integration personalized practice platform, and has obvious advantages. The analysis and research of the personalized practice platform of school-enterprise integration plays an extremely important role in the integration of enterprises and schools, which can accurately predict and optimize the growth characteristics and product generation of the integration practice of enterprises and schools. However, traditional support vector machines have certain limitations in solving platform analysis simulation problems, especially when dealing with complex problems. In this regard, this paper proposes an analysis and research scheme of a personalized practice platform for school-enterprise integration based on big data to better solve this problem. The scheme accurately locates the influencing factors through the data set theory, so as to determine the division of indicators, and uses big data to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the use of big data-based simulation scheme in the analysis and research of the school-enterprise integration personalized practice platform can better solve the limitations of traditional support vector machines and improve the accuracy and efficiency of simulation.