Analysis And Design Of Customer Churn Warning System In Xingtai Mobile

This paper mainly studies the telecom industry in customer drain. Science of data mining theory, combined with the actual needs of enterprises moving Xingtai analyzed Struts framework technology features and advantages of MVC model will be proposed based on the combination of Struts and oracle J2EE architecture as a large-scale application solutions. Struts of the system in the standard engine on the second package, designed and implemented an early warning system Xingtai loss of mobile users, and gives details of the specific design and implementation process. The system, through data mining technology in the implementation of massive historical data mining analysis, the background structures by customer churn prediction model, analyze the probability of the maximum loss which users and, based on consumer behavior and loss of customer churn and other relevant factors, to Marketing to provide decision support.After system deployment, we analysis the effects of this system. In this paper, numerical targets and indicators graphical model assessment so that assessment more objective, research results show that the system after on-line, should look better than the overall performance of the business of the company's existing systems. In addition, analysis of the mobile office next month in the net loss probability of the user based on the probability of a loss of customers in high-spending month, when the net length, sex, number of attributes such calls, summed up the reasons for churn, and the corresponding measures for customer retention.Finally, in this article I summarizes the research work, and proposed the content of the future research direction and ideas.