Improved K-Means Cluster Algorithm in Telecommunications Enterprises Customer Segmentation

摘要：

According to the actual requirements of telecommunications enterprises customer segmentation, in this paper an improved K-Means algorithm was introduced. The algorithm was used to initialize cluster center in the cluster analysis phase of Data Mining technology. The experimental results proved that the novel algorithm has greater improvement than the original one in efficiency and accuracy. The results applying the novel method to telecommunications enterprises customer segmentation showed that the segmentation results obtained can be used as the data basis in differentiated services for customers and have positive significance for product design and phone packages recommendation.

作者: Jinghua Zhao Wenbo Zhang Yanwei Liu

作者单位: Computer College Jilin Normal University Siping, China College of Computer Science and Technology Jilin University, Changchun, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Information Theory and Information Security(2010 IEEE 国际信息论与信息安全会议)

会议地点: 北京

会议语种:英文

页码: 167-169

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）