This thesis applies data mining techniques to customer segmentation based on customer value matrix and builds the classification model of customer with different value.
本文把数据挖掘技术应用于基于客户价值矩阵的客户价值细分中，建立各类价值客户的分类模型。
The customer classification management is also analyzed through using for the matrix of customer classification management.
文章还利用客户分类管理矩阵对客户进行了分类管理。
Then, similar customer groups or relevant Web pages were obtained by measuring the similarity between column vectors or between row vectors of the associated matrix.
然后，对所建立关联矩阵的列向量或行向量进行相似性度量，获得相似客户群体或相关页面。
In the end, the customer value-behavior matrix based on the customer value and customer behavior is proposed, through which the strategy of enhancing customer value promotion can be made.
最后，提出了基于客户价值和客户行为的客户“价值—行为”矩阵，并依此制定客户价值提升营销策略。
There has been some research abroad on consumer behavior applied in the field of consumer segmentation, like RFM model, Customer Value Matrix (CVM) model, etc.
国外已有一些关于消费者行为应用于客户细分方面的研究，如RFM细分模型、客户价值矩阵模型等。
There has been some research abroad on consumer behavior applied in the field of consumer segmentation, like RFM model, Customer Value Matrix (CVM) model, etc.
国外已有一些关于消费者行为应用于客户细分方面的研究，如RFM细分模型、客户价值矩阵模型等。
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