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Customer Classification Based on Data Mining Technology

机译:基于数据挖掘技术的客户分类

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摘要

The application of data mining in CRM (Customer Relationship Management) is more and more important, because it is one of the important ways to help enterprises to speed up information management and improve their market competitiveness. In this paper, we divide the clustering process into two phases: division and mergence. And use the combined division clustering and hierarchical clustering techniques to complete the customer classification. At the same time, a new adjustment method for the cluster center in the first stage is proposed to enhance the customer classification accuracy.
机译:数据挖掘在CRM中的应用越来越重要,因为它是帮助企业加快信息管理和提高市场竞争力的重要方法之一。在本文中,我们将聚类过程分为两个阶段:分裂和合并。并使用组合分区聚类和分层群集技术来完成客户分类。同时,提出了第一阶段中集群中心的新调整方法,以提高客户分类准确性。

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