Customer Segmentation Algorithm of Wireless Content Service Based on Ant K-Means
China wireless content service is at the beginning years of establishment, and will keep growing at top speed in the future. Pheromone of wireless content services can scatter by wireless uses, and gets effect of ant colony clustering. Basically, the process of customer segmentation is the process of ant looking for food. This paper presents ACO market segmenting algorithm of wireless content services based on customer consumption characteristics. This algorithm uses demographic, geographic, attitudinal and behavioral data available from across the enterprise to develop highly accurate segments. The algorithm has been implemented and tested on several real datasets and preliminary computational experience is very encouraging. In other word it has been proved that this algorithm will definitely converge to optimal solution in almost runs.
Wireless Content Service Ant Colony Optimization (ACO) Data Clustering Customer Segmentation
Zhou Zhongding Miao Xuemei Liu Guangcan
Management School, Hunan University, Changsha 410082, China Management Department, Changsha Nanfang College, Changsha 410208, China Communication Engineer Department, Changsha University, Changsha 410068, China
国际会议
重庆
英文
267-269
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）