Recommending An Insurance Policy Using Association Rule Mining
Nilkamal More, Suchitra S. Patil · International Journal for Innovative Research in Science and Technology · 2014
Improving the efficiency of ascertaining the frequent itemsets is a crucial issue in association rule mining algorithms. This paper illustrates the use of Apriori algorithm for Life Insurance Corporation for recommending a policy to a customer who is interested in taking a policy. For recommending a policy to a customer, the information about existing policy holders is taken into consideration. This paper also analyzes the performance of “An Improved Apriori Algorithm based on Matrix” [1].