Application of Association Rule Algorithm in Virtual Business Risk Classification System and Identification Model

In reality, business risks are ubiquitous. For example, fluctuations in market prices, price fluctuations, changes in social, political, and economic environments, natural disasters, etc., can all lead to commercial risks, and different types of commercial risks have different ways of handling them. Association rule algorithms can reflect the correlation between one thing and other things, and the factors that cause business risk are multiple and interrelated. This article aimed to apply association rule algorithms to identify business risk models and virtual business risk classification systems, so that the virtual business classification system can accurately identify business risks and classify them according to prescribed standards. The experiment proved that the virtual business risk identification and classification system designed using association rule algorithm in this article was indeed effective, and its evaluation and classification results for business risks were only about 2% different from those of professionals. It can accurately identify business risks and evaluate and classify them.