Research on SVC Algorithm in Customer Segmentation of KIBS

摘要：

Knowledge-intensive business services (KIBS) show the service specialized, knowledgeable, customized features, which determines its customers with a highly participatory and interactive. The reasonable classification of the customer will contribute to offering better solutions for the problem to meet customers demand. Combined with features of KIBS customer services, this paper points out that the market segmentation is no longer limited to variables of customer behavior characteristics, poses the afterwards market segmentation strategy based on attitude variables. Describes traditional K-means and SOFM cluster methods, proposes SVC(support vector clustering) algorithm to conduct market segmentation. Through application case of market segmentation the paper contrasted clustering effect of three methods, improving the ability to determine the effect of classification and advantages.

关键词： SVC algorithm Knowledge intensive business service customer segmentation post hoc segmentation

作者: Wang Yinghui Liu Xilin

作者单位: Northwestern Polytechnical University, Xian, Shaanxi, 710072, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 2490-2493

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）