2015 Volume 28 Issue 2 Pages 139-146
In this paper, we propose a method for extracting useful information of the customer's purchase tendency from data recorded in a group-buying coupon site. To begin with, we classify the customers using cluster analysis according to categories of purchased coupon. We also show the relationship between the customer's attributes and the categories of coupons using correspondence analysis. Through comparison of the results for all customers and for the customers in each cluster, we discuss the in-depth interpretation.