First, the concept and calculation method of customer service level based on customer segmentation are advanced through computing the customer lifetime value.
第一，通过客户生命周期价值的计算，进行客户价值细分，提出了基于客户细分的分销系统客户服务水平的概念和计算公式。
Market segmentation based on online customer data has been the crucial problem in corporations and serves as the effective means of distinguishing value target customers for enterprises.
基于网络客户数据的市场细分研究，是企业亟待解决的难点问题，可以帮助企业准确区分出有价值的目标客户。
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。
After that, bring forward a three-dimension customer segmentation method based on customer current value (CCV), customer potential value (CPV) and customer stability (CS).
然后提出了基于客户当前价值(CCV)、客户潜在价值(CPV)与客户稳定性(CS)的科学合理的三维客户细分方法。
Based on maximum between-cluster variance method and uniformity measure, this paper USES maximum entropy principle to select the gray-level threshold value for image segmentation.
在最大类间方差法和一致性准则法的基础上，运用最大熵原理来选择灰度阈值对图像进行分割。
First, by using behavior segmentation method based on value matrix, customers who have consumed more than one time are segmented into four categories, and the valuable customers are identified.
首先，通过使用基于价值矩阵的行为细分方法将老客户分成四类，并确定了其中的重要客户。
Customer segmentation based on customer value is a method of segmenting customer through analyzing customer value.
基于客户价值的客户分类是根据客户的价值大小来判断客户的类别。
The optimum threshold value was obtained and accurate segmentation of hydrophobic image was realized, which can meet the need of the classification of hydrophobicity levels based on BP neural network.
采用基于最大类间方差的遗传分割法通过反复迭代搜索得到较优的分割阈值，实现了憎水性图像的准确分割，可满足后续基于BP神经网络的憎水性等级的判定。
The optimum threshold value was obtained and accurate segmentation of hydrophobic image was realized, which can meet the need of the classification of hydrophobicity levels based on BP neural network.
采用基于最大类间方差的遗传分割法通过反复迭代搜索得到较优的分割阈值，实现了憎水性图像的准确分割，可满足后续基于BP神经网络的憎水性等级的判定。
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