Research for Customer Segmentation of Medical Insurance Based on K-means and C&R Tree Algorithms

Abstract

This paper applies such data mining techniques as clustering and classifying to customer segmentation based on insurance Customer Risk Contribution matrix. A solution for segmentation management based on Clementine is put forwarded. It is brought forward that the insurance customer segmentation method, which can provide decision bases for insurance companies’ making premium rate and controlling claim risk. At the same time, it makes segmentation management more scientific and lifts the capability of insurance market competition.