The Study And Application Of Data Mining Technology In The Credit Management Of China's Banks

Data mining is an interdisciplinary technology of databases,data warehouse,machine learning,statistics and other fields of technology and methods.Data mining technology makes it possible that widespread,large quantities of data can be transferred into useful information and knowledge,which will greatly help various industries and enterprises to make more wise and correct decisions.Banking is an information-driven industry,and information technology has already been penetrated into various agencies,and even all aspects of the financial industry. Majority of commercial banks in China have been established the accounting system as the core,and the credit management system,the personal credit management system, the intermediate business system,the management accounting system,the internet banking system as a set of external support systems,which formed a complete set of information management system of our banks.How to effectively use data mining techniques,which could obtain useful information and knowledge from the historical data,and even could get more effectively ways to guard against credit risks,this will become the decisive factor of international competition advantage for China's banks.This paper introduces the relevant concepts of data warehouse and data mining technology.Then it analyzes the features of credit management and credit management systems in China's banks.Finally,the paper focuses on applications of data warehouse and data mining technology,all of which are used in credit management system to improve the methods of risk classification,and make the conclusion.