Risk Evaluation Of Participating Insurance Based On Big Data Association Rules

Big data has realized the innovation of the digital times,and the participating insurance has realized the innovation of insurance products.Risk evaluation which combines big data theory and technology is consistent with the reform and change of the times.Different from the traditional risk evaluation methods,big data technology is based on the accumulation of massive data,can discover the implied relevance and knowledge more extensive and in-depth from the data of participating insurance.In the current situation of the trend of participating insurance,big data technology also can improve economic benefits and promote industrial structure adjustment.With the help of large data association rules algorithm,this paper makes knowledge mining and underwriting risk analysis of claim settlement data and related customer information.And auxiliary strategy adjustment and business design,so as to speed up the process of insurance personalized service.First,expound the knowledge of association rules based on data mining and the theoretical knowledge of the applied Copula function.Then,analyze and design the model from the theoretical point of view.After that,based on the theoretical basis above,the association rules analysis model which combines the Apriori customer analysis model and the Copula correlation test model is set up.This model has realized the purpose of mining risk factors and subdividing risk customers.The innovation of this paper is mainly reflected in the following two points: firstly,considering the characteristics of participating insurance profit sharing,this article selects the risk evaluation of the customer's underwriting risk.Secondly,Copula algorithm is applied for further analysis and verification,which improves the accuracy of non discrete numerical mining correlation and optimizes the rule results.Finally,the experimental results draw 7risk factors that affect risk,and conclude the basic types of risk customers,and put forward corresponding business proposals which based on the risk factors.The research in this paper shows that big data technology has a good application prospect in the insurance industry,and provides a direction for other insurance types of risk research.