Data Mining Techniques in Customer Churn Prediction

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题名:	Data Mining Techniques in Customer Churn Prediction
作者:	蔡志豐;Tsai, Chih-Fong;盧鈺欣;Lu, Yu-Hsin
贡献者:	會計與資訊學系
关键词:	Churn prediction, data mining, customer relationship management.
日期:	2010
上传时间:	2012-11-26 04:34:13 (UTC+0)
摘要:	"Customer churn prediction is one of the most important problems in customer relationship management (CRM). Its aim is to retain valuable customers to maximize the profit of a company. To predict whether a customer will be a churner or non-churner, there are a number of data mining techniques applied for churn prediction, such as artificial neural networks, decision trees, and support vector machines. This paper reviews some recent patents along with 21 related studies published from 2000 to 2009 and compares them in terms of the domain dataset used, data pre-processing and prediction techniques considered, etc. Future research issues are discussed."
關聯:	Recent Patents on Computer Science
显示于类别:	[會計與資訊學系] 期刊論文

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