Research and Implementation of Association Analysis of Agricultural Insurance Based on Data Mining Algorithm

Abstract

In order to establish the comprehensive competitive intelligence system of agricultural insurance companies, the process model of agricultural insurance competitive intelligence is constructed by combining data mining and process mining. The model is based on the relationship between data mining, process mining, and competitive intelligence based on analytic hierarchy process, and combines the current agricultural insurance subsidy policy, and the demand characteristics of competitive intelligence of agricultural insurance companies. Experimental results show that, among 11 secondary indicators, 6 indicators are rated above 4.0, that is, good grade or above, and 5 indicators score below 4.0, and still need to be improved. Prove data mining and the AHP algorithm can effectively improve the sustainability of agricultural insurance.