Leveraging Data Mining Optimization for Enhancing Safety Management in Public Security Prevention and Control Application

This article basically explores the perspective of public opinion in universities and colleges by taking into consideration, the campus security perspective. Big data and data mining tools have been utilized to explore the safety management construction outlooks in colleges and universities for ensuring the personal safety measures of teachers, students, and staff. This article also realized the long-term harmony and stability perspective of construction safety in the campus environment. This paper establishes the visualization of data mining applications to comprehensively improve the level of safety management in colleges, thus performing safety testing and analysis. The outcomes obtained reveal the graphical representation of system response time, which, compared with the actual response time, provides better performance, which is quite near to 0.061 s. The comparison of system performance is done in terms of response time as well as system accuracy. The overall system accuracy was observed to be 97.89%, revealing the goodness of the proposed approach. The system automation, refinement, and mobility management of campus security management were realized in this article and a significant improvement in campus security, information construction, and managerial execution of smart campus is observed.