Research on Enterprise Financial Performance Evaluation Method Based on Data Mining

Abstract

With the rapid development of China's economy, the issue of corporate financial performance has gradually become popular. In this process, it is necessary to use the relevant principles of economics to conduct a corresponding rational analysis of investors' behavioral motives to ensure that mathematical models can constrain their investment behaviors. Based on the above background, this paper conducts an in-depth analysis of data mining technology and conducts corresponding mathematical modeling of investors' psychological activities and behavioral characteristics. In the modeling process, the decision tree algorithm and neural network algorithm are used to predict the relevant actions of investors to ensure that they can make more effective information evaluations in the investment process. Based on the above model, this paper makes a systematic and scientific evaluation of the financial performance of listed companies to assist investors in verifying their investment.