S. Mehregan

[ 1 ] - Retaining Customers Using Clustering and Association Rules in Insurance Industry: A Case Study

This study clusters customers and finds the characteristics of different groups in a life insurance company in order to find a way for prediction of customer behavior based on payment. The approach is to use clustering and association rules based on CRISP-DM methodology in data mining. The researcher could classify customers of each policy in three different clusters, using association rules. A...