Banking Based On Data Warehouse Data Mining Research

With the stock reforming of the the four state commercial banks and the end of the interim of entering WTO. All of the commercial banks in China have given more attentions on building modern finance corporations to meet the challenges and new needs of the customs. In order to do better, the state commercial banks should change the methods of selling rapidly. They could not deal with selling in traditional ways and should design the finance products individuality by customs' requires. The employees of the banks have to conclude the common characters from the huge informations. The technologies of Data Ming and Data Warehouse can do the best in these fields and they can help the employees to finish the work quickly and efficiently. Furthermore, the results can bring many supports to the leaders of the banks to make new decisions.This paper mainly research on how to use the data mining technology base on the data warehouse to develop personal finance and the collaboration of banks and corporations. And emphasize in designing the modules of custom segmentation and custom loss problems. Finally, implementing above two moduls by the methods of desion tree and clustering and give out the predictions. With the combination of these research and the fact of the banks, the modules can resolve the problem that how to classify customs by their different conditions. And help the employees to check out the unconspicuous loss customs in advance and then maintane these customs relationship at once. After modifying these modules, they can be used in other fields and create more economic merits.Hope this paper will have an impetus to the using the data mining in the bank operations. And give more valuable informations to the employees of the bank and help them do better in the jobs.