基于CRISP-DM电信客户细分模型的创建

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针对数据挖掘技术在电信行业客户细分领域中的应用这一主题,在客户细分和数据挖掘等相关理论的基础上,以上海电信提供的二十多万客户数据作为研究对象,理论结合实际,参考CRISP-DM数据挖掘模型,采用数据挖掘工具SPSS Modeler的K-means聚类算法实现对电信客户准确、有效的聚类细分,为管理和营销人员初步提供了制定管理或营销计划的依据。
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