Data Mining Technology Applied Research In Bank Credit Card System

With the expansion of the development of the computer technology,Internet technology,social networks and the use of smartphones in modern society,the amount of data increase rapitly.Data mining technology by the vast amounts of information analysis and processing,from data extract useful knowledge,can provide real value information for the customer's decision,the virtual data transformation for real economic benefits.Many governments and enterprises have gradually realized the importance of data mining,.Data mining technology is gradually applied in telecommunications,games,banking and other industries.After decades of operation,China's banking industry has accumulated a huge amount of data,because of the special nature of customer interaction.Although it has gradually become the main industry of data mining,the analysis and research of data also has a certain gap with the international presence.This paper introduces the data mining technology application in the bank credit card system,and designs a data mining system for the credit card business.This system models two buildings,using SPSS modeler.It introduces detailed description of the cluster analysis and neural network analysis,logistic regression,the RFM analysis technology application,indicating that the data mining technology in bank credit card system has a great effectiveness.