摘要
面对电信市场竞争的日益加剧和信息技术的迅猛发展,电信运营商必须建立以"客户为中心"的管理模式,将客户进行分类,针对不同的客户,研究出相应的营销策略。数据挖掘中的K-means聚类算法能对大型数据集进行高效分类。对K-means算法进行改进,使其能够应用于复杂的电信客户关系管理,实现更加准确和全面的客户分类。
With the sharp competition in the telecommunications market and the rapid development of information technology, telecommunications operators must establish a ＂customer-centric＂ management style to classity customers. For different customers, different marketing strategies are developed. Data Mining in the K-means clustering algorithm for large data sets can be efficiently classified. In this paper, K-means algorithm is used in complex telecom customer relationship management to achieve more accurate and comprehensive customer classification.
出处
《计算机系统应用》
2010年第2期155-159,共5页
Computer Systems & Applications
基金
国家自然科学基金(60703097
60703155)
国家高技术研究发展计划(863)(2007CB310702)
