The Title of the Paper: Research on insurance marketing application based on hash link-table improved association rule algorithm

Aiming at the problem of slow processing efficiency of Apriori algorithm when the amount of data is large, the association rule algorithm is combined with hash link-table, and an improved association rule algorithm based on hash link-table is proposed to solve the disadvantage of long average time-consuming of traditional association rule algorithm in finding frequent itemsets. The improved association rule algorithm through hash link-table is applied to the insurance marketing scenario with large data set, analyzes the insurance purchase behavior of a large number of customers in the insurance database, finds out the insurance product sales association rules, and accurately recommends the products they are interested in to customers, so as to increase the success rate of marketing.