Data Mining Algorithm In The Analysis Of Insurance Customer

Insurance has became a fast-growing business in China, with its increasing, a huge amount of customer information has been gathered together. The speed of the company's intranet become higher and higher,the capability of the business-process server become more powerful, data-centralization become more popular. These provide a hardware platform for the application of data-mining technique in insurance business. More and more insurance company has realized the importance of the application of data-mining, both in risk-controlling and cost-reducing.With the development of insurance,the running expenses of insurance company is growing fast. The profit of insurance company has two part, one is the First-year Premium,the other is the renew premium. The renew premium has the feature of stability and continuity, it has been a strong foundation of the insurance company to keep developing. Nowadays the way of getting renew premium in insurance company is very simple, for every customer, they give notice in the same way, it cost a lot and waste a lot.Data mining technique and classification method(Multivariable Linear Regression and ID3) will be used to analyze the activities of customer in payment,to discover the relationship between the possibility of payment and how many times they have paid and when they have paid the premium. Using decision tree, a prediction model is made to estimate the possibility of a certain customer's activity in payment. When the model is established,it can give some advice to the renew department to adopt flexible method in getting renew premium. It makes the cost more efficiency and may get more marginal profit.According to the established model of the dissertation, database system will be applied, then it can validate the model in this system. And it will supply the fact for keeping improve the model...