The Design And Implement Of Internet Bank Customer Evaluation System By ICBC Of ChongQing Based On Data Mining

Data mining is the principle of sorting through large amounts of data and picking out relevant information. It is increasingly used in the database and artificial intelligence research. The internet bank customer evaluation system used by Industrial and Commercial of Chongqing employs data mining basing on SQL Server 2005 platform. Through clustering, decision tree and neural networks, the system can analyze the data of potential customers, find relevant relationship patterns, and make a reasonable evaluation of the customers about their usage of internet bank.Based on the comparison and contrast of data mining used in the finance field in China and other countries, this report analyzes algorithms of data mining, discusses how to build up the technical support of data mining platform and designs the internet bank customer evaluation system by Industrial and Commercial Bank of Chongqing.This report includes the following topics:①The problems are facing by the financing business when culturing high-end customers;②Study algorithms and techniques of data mining; provide the theories and technical support for the internet bank customer evaluation system used by Industrial and Commercial Bank of Chongqing;③Build data mining model based on clustering and decision tree algorithm, which predicts a two-level structure and enhances the accuracy of prediction;④Based on the model, develop the internet bank customer evaluation system.This system achieves the process of data collection, data filtering, model prediction and application integration based on knowledge discovery in database. The system basic evaluating results shows that mining bank of high-end customers for the developed system is acceptable to users.