Abstract
In recent years, China has focused on the development of sports and adopted modern, scientific, and standardized management of referees. Global sports events are becoming increasingly fierce. One of the main links is to manage the referee group and ensure the fairness and impartiality of sports competitions. In sports competition, referees implement sports rules, so the quality of referees directly determines whether sports events are fair and just. Cheerleading operation was introduced into China as a new sports event and spread rapidly in major universities and primary and secondary schools. With the increase of the number of cheerleading athletes, the number of referees also continues to increase. Referees' information management has become the main problem. Therefore, this paper uses data mining technology to design and develop cheerleading referee information management system, uses the system to manage the basic information of cheerleading referees, and analyzes the sanction ability and strength of cheerleading referees. This paper first introduces the basic concept and operational process of data mining algorithm, and C4.5 decision tree algorithm, and support vector machine algorithm. Based on this algorithm, a cheerleading referee information management system is established. Then, we analyze the system structure and demand analysis and design the main structure of the system. Finally, the number of cheerleading referees is analyzed. The highest proportion of referees is 29.5%, the number of referees is 3 to 5 times, and the highest proportion of referees with more than 10 times per year is 59.24%. Using this system to analyze the strength of cheerleading referees, the most influential factor is the lack of on-the-spot experience, accounting for 38.83%.