Research on customer segmentation in retailing based on clustering model

Data mining can efficiently deal with the large number of historical and current data, from the database can find some potential, useful and valuable information for the retail stores. The paper takes a large retail supermarket as its study object, use data mining methods to retail enterprise customer segments, and then use association rules to different groups of customer and get rules about customer characteristics to make customer characteristic analysis. Finally, give some references to the supermarket´s marketing and management work.