Application Of Data Mining In Fraud Prevention In Life Insurance

In recent years,the rapid growth of insurance business in China,constantly expandservice areas, has become an important means of risk management of the market economy.The insurance industry has become an important part of the financial and social securitysystem. However, insurance fraud has been breeding, rapid deterioration, caused by thenegative impact of society, worrying. It has become an important bottleneck for the furtherdevelopment of China’s insurance industry.By analyzing the method of anti insurance fraud existing in life insuranceindustry.Aiming at the limitation of existing methods and the existing problems, According tothe data mining technology, the anti fraud system of a life insurance scheme. The maincontent of this paper includes:1. The use of data mining technology, analysis of the life insurance industry antilimitations of present situation and the domestic and foreign existing anti fraud system fraud;2. According to the Pacific Life insurance Baoding branch provides data, The design ofthe whole life insurance anti fraud system, including the design of model systems business,design the system logic model design and physical model3. According to the above design scheme, Study on the process of data preprocessing indistributed environment. The cleaning strategy of heterogeneous data integration strategy andthe dirty data; Combined with the characteristics of the business model, in the anti-fraudsystems successfully applied SPRINT data mining algorithms.