The analysis of CRM customer information based on data mining

机译：基于数据挖掘的CRM客户信息分析

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摘要

Customer data in a training institution is analyzed in this paper. Based on cloud computing models, Google Maps API is used to obtain the accurate latitude and longitude geographic coordinates for the customers. With the customer's geographic information as the basic dimensions, an improved data mining algorithm is proposed to cluster the customer information and acquire their clustering characteristics, which can not only support and optimize the marketing promotions, but also analyze and verify the scientific and reasonable distribution of the teaching and training centers.

机译：本文分析了培训机构中的客户数据。基于云计算模型，Google Maps API用于为客户获取准确的纬度和经度地理坐标。以顾客的地理信息为基本维度，提出了一种改进的数据挖掘算法对顾客信息进行聚类并获得其聚类特征，不仅可以支持和优化营销促销，而且可以分析和验证顾客的科学合理分布。教学和培训中心。

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《International Conference on Natural Computation》|2013年|978-983|共6页
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Jiang Hong; Yu Qingsong; Liu Chang; Zhu Qing;
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clustering analysis; customer information; data mining; marketing promotion and campaign; marketing strategy;

机译：聚类分析;客户信息;数据挖掘;营销推广与活动;营销策略;

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4. The analysis of CRM customer information based on data mining [C] . Jiang Hong, Yu Qingsong, Liu Chang, International Conference on Natural Computation . 2013

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The analysis of CRM customer information based on data mining

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