%0 Journal Article
%T Research on current situation and development of customer churn prediction<br>客户流失预测的现状与发展研究
%A xiaguoen
%A <br>夏国恩
%J 计算机应用研究
%D 2010
%I 
%X Based on the intelligence degree and development course of customer churn prediction research, this paper separated customer churn prediction research into three stages including on traditional statistics methods, artificial intelligence methods and statistics learning theory. And proposed future research aspect by analyzing the problems of every stage.
%K customer churn
%K support vector machine(SVM)
%K prediction model<br>客户流失
%K 支持向量机
%K 预测模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=7C5B22D8F41300C55D9281B6028078FC&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=0B39A22176CE99FB&sid=09AA1448D1EAF9C1&eid=AF0641F74554D706&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=35