Design And Implementation Of Business Risk Monitoring System

The online business has been promoted by network technology, but there are all kinds of risks during online business which will bring great losses to the banks and individuals. It is necessary to carry out the risk monitoring of online business. Based on the above background, a business risk monitoring system is designed and implemented in this thesis.The primary contents of the thesis mainly including:1.The risk mining model based on association rules is designed, includes data preprocessing module, data mining module and rule management module.(1) The data preprocessing module is composed of data cleaning, data reduction, data partitioning,and provides suitable database for data mining model;(2) An efficient algorithm of association rule mining(ARM-PC) based on the candidate set partition is designed in the data mining model. And based on the ARM-PC algorithm, the business risk association rules mining is carried out for the transaction database provided by the data preprocessing module;(3) The rule management module updates the rule and manages the rule’s integrity.2.Taking risk mining model as the core, the online business risk monitoring system is designed and implemented.(1)The design of the system is completed, especially the core module which consists of risk monitoring module, data dump module, unified computing module;(2)The Netty framework is used for the system communication, and producer-consumer model is used in the data processing.3.The function and performance of the risk monitoring system has been tested;The commercial application practice indicates our business risk monitoring system can effectively prevent the risk business. The thesis is of great significance for the development of electronic commerce application system.