Optimized Construction of Risk Identification and Assessment System for Sports Events Driven by Big Data
The traditional risk identification and assessment system of sports events seems to be incompetent when facing the challenge of big data,and needs to be optimized and reconstructed to adapt to the new data environment urgently.This paper focuses on the innovative application of Big Data technology in the risk management of sports events,aiming to construct an efficient and accurate risk identification and assessment system based on Big Data.The system realizes early warning,dynamic monitoring and scientific assessment of risks through in-depth mining and analysis of event-related data,providing event organizers with a strong basis for decision-making,effectively improving the safety prevention,control and management effectiveness of the event,and ensuring that sports events are conducted safely,orderly and efficiently in a complex and changing environment.
Big DataSports eventsRisk identificationRisk assessmentSystem optimization
万方数据
维普
