全生命周期下K-means算法的电信客户价值分析

Analysis of the telecom customer value based on K-means algorithm under life cycle

文中研究了大数据背景下电信客户价值的分析问题。基于电信客户全生命周期管理思想,建立了电信客户当前价值模型和电信客户长期价值模型,确立了以电信客户分类为基础的客户价值分析策略。基于电信客户的当前价值模型和长期价值模型,采用K-means聚类算法对电信客户分类,进而依据分类结果对客户的价值作出评价。实例验证结果表明,文中给出的基于全生命周期思想和K-means聚类算法的电信客户价值分析方法是行之有效的。

This paper studies the telecom customer value analysis problems on the background of bigdata. Based on the idea of telecom customer life cycle, the telecom customer current value model and thetelecom customer long period value model are established, meanwhile the customer value analysis strategyis determined by customer classification. Then the K-means cluster algorithm are used to classify thetelecom customer, and the customer value is evaluated according to the result of classification. Theresults from practice show that the proposed method for analysis of telecom customer value is feasible andeffective.