基于数据挖掘技术的移动通信行业客户细分

The Research of Customer Segmentation Based on Data Mining in Mobile Telecommunication Industry

利用数据挖掘中的误差平方和准则函数的K-Means聚类算法,建立了客户细分模型,为企业进一步制定营销策略提供依据.此方法已经投入运行.实践证明,该方法实用、可操作性强,对支持企业产生了积极的影响.

This paper built a customer segmentation model by the rule function of error square sum of K Means clustering from data mining technology, which can provide a scientific basis for the marketing strat egy. It presents a positive effect on enterprises because of its practicability and simplicity.