Data Mining Method in Enterprise Financial Early Warning and Risk Control

No matter whether the country is in a period of economic fluctuation or a period of economic slowdown, in order to maintain the social development of a country and the stability of the capital market, it is necessary to implement the key link of corporate financial crisis early warning, and continue to innovate corporate financial risk management methods with application. The purpose of this paper is to study enterprise financial early warning and risk control based on data mining method. After the samples are designed according to the particularity of the sampling data, various early-warning economic models are introduced, and various performance evaluation models are used to evaluate various models of financial early-warning. Make full use of various classifiers, statistical methods, etc. for enterprise financial early warning analysis, and make full use of existing analysis methods for financial early warning analysis. By comparing the performance of the models, the results show that the accuracy of models based on decision trees is The highest, which is conducive to improving the predictive effectiveness of corporate financial early warning.