Internet Data Risk Model of Sports Events Based on Convolutional Neural Network

Song, Lin

doi:10.1109/ecnlpir57021.2022.00013

Cited by 1 publication

(1 citation statement)

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“…College sports events are an essential part of college education. Along with the continuous development of college sports events, college sports events have also tapped into the enormous educational potential and value [3][4][5]. However, at present, there is an academic and management dilemma in the educational function of practical parenting of college sports events centered on competitive sports.…”

Section: Introductionmentioning

confidence: 99%

Research on the framework of sports event management system of colleges and universities based on big data

Xie,

Guo,

Wang

2024

Applied Mathematics and Nonlinear Sciences

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With the continuous expansion of the scale of colleges and universities and the rapid development of network technology, the management of college sports events is facing more and more challenges. This study first constructs a collaborative management model for college sports events based on the SFIC model. It selects teachers and students from M school as the research object and presents relevant hypotheses. Factor analysis is used to verify the effectiveness of college sports event management, and multiple regression analysis is employed to analyze the factors. The results show that the four public factors extracted have been able to cumulatively summarize 71.408% of the original indicators of information starting conditions, catalytic leadership, institutional design, and synergistic process that can explain the management effect. Furthermore, the correlation coefficients between the variables and management effects are greater than 0.96, indicating a significant correlation. According to the study, there is potential for optimizing the management system of university sports events in terms of management power, management capacity, administrative duties, system improvement, management cooperation, transparency, and openness.

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Section: Introductionmentioning

confidence: 99%