Application of Evolutionary Big Data Statistical Analysis Method in Computer Guiding Management Under Mobile Sustainable Network Scenarios

Abstract

In this paper, we consider the application of evolutionary big data statistical analysis method in computer guiding management under mobile sustainable network scenarios. Based on the analysis of big data, we comprehensively consider the progress space of urban development and mobile communication and use wireless network transmission technology to provide 5G network access centered on areas with dense population distribution and large number of users. Under this access mode, diversified business requirements can be met, and the content of data business can be improved, the utilization of resources can be saved, and the program can be simplified. From the perspective of the choice of specific ways to improve the quality of big data statistical analysis, it should be carried out from two aspects: theoretical research, practical application, and training and learning. Hence, we understand the model from the different perspectives. The numerical simulation has been conducted to show the performance.