Retaining Customers Using Clustering and Association Rules in Insurance Industry: A Case Study

R. Samizadeh; S. Mehregan

Volume 5, Issue 4 , October 2015, , Pages 261-268

  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 ...  Read More