Improvement of Apriori Algorithm Based on Association Rules and the Application in the Insurance CRM of China

As a kind of management strategy of customer centered,Customer Relationship Management(CRM)can retain and obtain customers well.Data mining,as a tool of analyses which can be analyze mass data and mine customer values in CRM.As an important topic in the data mining field—association rules of Data mining,there are some shortcomings in mining association rules via Apriori algorithm or its improved algorithms,for instance,many candidate items generated and more disk I/O needed.After analyzing the disadvantages of the classical Apriori algorithm,an improvement of Apriori algorithm is proposed based on association rules and applied it in analyzing a large amount of data,for instance,the customers gain,particularly customers distinguish,operation risk and so on.According to the rulers,people can find out,who have some characters would buy which kinds of insurance.This gave the de-finitude of operation drumbeating and support enterprise to make an appropriate decision for each kind of customer.