Applications of clustering data mining in customer analysis in department store

Data mining is used for knowledge discovering from mass data to support decision making. The implementation aspects of applying clustering data mining method to customer analysis of department store are studied in this paper. A data warehouse is built based on the OLTP database of Chongqing Liangbai Department Store. Two data mining models are applied to the analysis of customer characteristics and the relationship between customers and the product categories. The mining results are analyzed.