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Received:March 19, 2012 Revised:May 01, 2012
Received:March 19, 2012 Revised:May 01, 2012
中文摘要: 电信市场的竞争在于客户的竞争, 为了在激烈的竞争中保持优势, 必须将客户进行细分, 针对不同的客户, 研究出相应的营销策略. K-means 算法能对大型数据集进行高效分类, 但对 “噪声”敏感, 聚类结果不准确,本文对该算法进行改进, 使其能够实现更加准确和全面的客户细分.
中文关键词: 电信CRM 客户细分 数据挖掘 K-means 聚类分析算法
Abstract:The telecommunication market competition is the competition for customers, in the fierce competition to maintain advantage, must be customer segmentation, for different customers, work out the corresponding marketing strategy. K-means algorithm for large data sets for efficient classification, but the " noise" sensitive, clustering result is not accurate, the algorithm is improved, which can achieve a more accurate and comprehensive customer segmentation.
keywords: telecommunication CRM customer segmentation data mining clustering analysis of K-means algorithm
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基金项目:湖南省教育厅科学研究项目(11C0724, 11C0723)
引用文本：
左国才,周荣华,黎自强.改进k-means 算法在电信CRM 客户分类中的应用.计算机系统应用,2012,21(11):153-155,186
ZUO Guo-Cai,ZHOU Rong-Hua,LI Zi-Qiang.Improved K-Means Algorithm and Its CRM in Telecom Customer Segmentation Application.COMPUTER SYSTEMS APPLICATIONS,2012,21(11):153-155,186
左国才,周荣华,黎自强.改进k-means 算法在电信CRM 客户分类中的应用.计算机系统应用,2012,21(11):153-155,186
ZUO Guo-Cai,ZHOU Rong-Hua,LI Zi-Qiang.Improved K-Means Algorithm and Its CRM in Telecom Customer Segmentation Application.COMPUTER SYSTEMS APPLICATIONS,2012,21(11):153-155,186
