Application of Cheerleading Referee Information Management System Based on Data Mining

Area of Science:

• Sports Management
• Data Mining
• Sports Science

Background:

• Modern sports require scientific and standardized referee management for fairness.
• Cheerleading is a rapidly growing sport in China, increasing the need for effective referee management.
• Current referee information management poses challenges due to the growing number of athletes and referees.

Purpose of the Study:

• To design and develop a cheerleading referee information management system using data mining technology.
• To manage basic information, analyze sanctioning ability, and assess the strength of cheerleading referees.
• To address the main problem of referee information management in the context of increasing participation.

Main Methods:

• Utilized data mining technology, specifically C4.5 decision tree and support vector machine algorithms.
• Designed and developed a cheerleading referee information management system based on these algorithms.
• Analyzed system structure, demand, and referee data, including frequency of officiating and influential factors.

Main Results:

• The system effectively manages cheerleading referee information.
• Analysis revealed that 59.24% of referees officiate more than 10 times annually.
• Lack of on-the-spot experience was identified as the most influential factor affecting referee strength (38.83%).

Conclusions:

• The developed data mining system provides a solution for managing cheerleading referees.
• The system aids in analyzing referee performance and identifying areas for improvement.
• Improved referee management through data mining can enhance the fairness and quality of cheerleading competitions.