Development of a Competition Intelligent Management System and App Based on Data Mining Algorithms

With the increase of competitions and participants, traditional manual management methods can no longer meet management needs. This study uses data mining algorithms to analyze and process competition related data, including registration information and participant history data. This article uses machine learning algorithms and data mining techniques to establish models for performance prediction, participant recommendation, and competition optimization. At the same time, this article develops a corresponding competition intelligent management system and APP, which enables interaction and information exchange with participants through a user interface. The experiment finds that the stability of the system in this article can reach up to 99%, and the lowest is 95%. The system can automate the registration process, provide personalized competition recommendations and filtering functions, accurately predict the scores of participants, and provide intelligent participant management.