Trend Analysis of University Sports Venues Opening To Outside World Based on Big Data

Due to the management of colleges and universities has certain closed, leading to the openness of the stadium and the use efficiency is not high, there is a waste of resources to a certain extent, in order to improve the utilization efficiency of university stadiums, the need for the opening of university sports venues trend analysis and resource optimization scheduling. Analysis of the benefits and necessity of College Physical Education venues, and expounds some key problems existing in college sports venues open and related measures. The data analysis method of opening college sports venues the trend analysis, the data association of College Stadiums use degree and the degree of openness of the statistical model in cloud computing, college sports venues opening up data association is a set of statistical feature data, using statistical analysis method of sports venues opening degree and utilization efficiency for analysis of large data mining, correlation index of the characteristics of college sports venues opening up the related data, combined with fuzzy C means algorithm for clustering large data processing, the college sports venues opening up the statistical prediction and assessment are realized, implementation of sports venues opening up trend prediction and optimization of resource scheduling. The empirical analysis results show that this model is more accurate to predict the opening trend of university sports venues, it can improve the utilization efficiency of sports resources in Colleges and universities.