数据挖掘在银行客户细分中的应用

Application of Data Mining in Customer Segmentation of Banks

对银行客户细分的挖掘模型做了讨论,将数据挖掘中的K-means算法应用于其中。通过提供针对本文具体实例的聚类算法,得出了具有实际意义的挖掘结果,并给出相关的参考营销策略,以便读者参考。

This paper discusses the mining model of the bank customer segmentation,introtuces the application of K-means Algorithm for data mining in it.Throngh providing specific examples in this paper for the clustering algorithm,it comes to the practical results of the mining, and presents the related marketing strategy to more readers for information.