Research and Design of Customer Analysis System Based on Clustering Mining
Company customer analysis system is designed and implemented based on clustering mining technology. Customer preference segmentation model is built by using the K-medoids clustering method, the customer are divided into several groups effectively. Through a combination of the decision tree and the logistic regression method, the customer loss early-warning model is constructed. The practical results show that the designed system has an excellent performance.
Customer analysis system Data warehouse Data mining K-medoids clustering Binary logistic regression
Xu Jinglei Liu Xiyu
Management Science and Engineering College, Shan Dong Normal University, Jinan, China
国际会议
黄山
英文
193-198
2012-07-10（万方平台首次上网日期，不代表论文的发表时间）