Commercial Bank Personal Credit Risk Assessment Model And Its Application Based On The Data Mining Technology

The development of network finance and the virtual economy changed rapidly. The development of information technology impact the traditional banking business and challenge it at the same time, also brought the unprecedented development opportunity for business. With the advent of the era of the big data, the daily business of commercial bank information data growth explosively, not only cause difficulties to store working data, but also greatly increases the difficulty of commercial banks to use the data.In recent years, with the rapid development of China’s commercial banks credit markets, diversity of the credit market scale and credit business has a significant improvement. Personal credit business as a source of bank profits at the same time, there is also a bad loans and bad debt losses. How to manage personal credit default evaluation through commercial banks control the data resource, reduce the rate of bad loans and bad debt losses become the focus of research. Personal credit default assessment can not only help commercial banks to eliminate the risk of the existence of asymmetric information and management, but also can improve the overall profit of commercial banks. Faced with the challenge of massive data to commercial bank credit risk management brings, continuously updated data processing technology to commercial banks also provide a better opportunity.With the help of Logistic model and data mining technology, making full use of a Nanjing city commercial Banks on the basis of data from nearly 30000 cases of personal credit business to evaluate the commercial bank personal credit risk of default, and the forecast of individual credit default probability analysis. Based on personal credit default as the research object, combined with data mining technology and make full use of the data mining software, establishing personal credit evaluation model of default, and in view of the commercial bank risk management is the weak link of improving measures are put forward.