Research on Financial Risk Management of Automobile Supply Chain Based on Data Mining Technology

With the rapid development of supply chain finance, the risk management problem ensues. In this paper, the data mining technology is used to study the large amount of data of the spare parts suppliers in the automobile supply chain, and to identify the characteristic attributes of the default suppliers, and try to help the core enterprises to evaluate and select the partners more efficiently. The results show that the six attributes such as "supplier locations" are highly correlated with the default risk of the supplier, and can help the core enterprises to identify the default suppliers. In addition, "registered capital" and "auto parts properties" are weakly related to default risk, we can delete them.