Decision Tree Method in Financial Analysis of Listed Logistics Companies

The paper introduces decision tree algorithm and C5.0 algorithm in the data mining at first. Then it introduces financial analysis methods, the problems which need to pay attention to in application and the selection process of attributes. At last, we study the financial ratios of listed logistics companies through the application of SPSS Clenmentine12.0 software. The accuracy of this model is as high as 95.83%.