Application of data mining algorithms in the analysis of financial distress early warning model of listed company

Using data mining techniques to study the warning of financial risk for China´s listed company and build an effective model for early warning of financial distress is of great theoretical and practical significance. This paper mainly studies the specific application of data mining algorithms in the early warning of financial risk for listed company and introduces its relevant theories. Further more, it also analyses its study process and describes in detail the data mining techniques adopted in this paper, following which to achieve the application of data mining technology in early warning of financial distress according to the actual situation of China´s listed companies, listed manufacturing companies as well as their matched companies.