Demand Analysis of Coastal Agricultural Catastrophe Insurance Based on Data Association Analysis Algorithm

Abstract

Catastrophe insurance system is an important part of agricultural catastrophe insurance system.The traditional data analysis methods have high complexity and low efficiency, and there is a big difference between the real results and the traditional data analysis methods.The data association rules and conditional value evaluation method is proposed in this paper to mine and analyze data.Through the analysis of the data obtained from the field survey, it is found that farmers have obvious demand for agricultural catastrophe risk prevention in terms of willingness to transfer risk.The experimental results are helpful to establish an effective agricultural catastrophe insurance system and improve the supply basis of agricultural catastrophe risk through non economic factors.