摘要
以决策树数据挖掘分类算法在金融客户关系管理(CRM)中的应用为例,进行了数据挖掘的尝试,从中发现企业产品的销售规律和客户群特征,从而提高CRM对市场活动和销售活动的分析能力,得到了与实际经验相符的结果和相应的"规则",验证了其可行性和可供决策支持的现实意义。
This article takes the decision tree data mining sorting algorithm＇s application in the financial customer relations management （CRM） as an example, to carry on the data mining attempt, and discover the regulations of enterprise product sales and customer base characteristics, thereby enhance the CRM on the analytical capacity of market activities and sales activities, and obtain the result which consistent with the practical experience and corresponding＂the rule＂ to verify its feasibility and the decision support for practical significance.
关键词
算法
数据挖掘
决策树
客户关系管理
algorithm
data mining
decision tree
customer relationship management
