%0 Journal Article
%T A Kind of Unusual Customers Recognition System Based on Multi-criteria Neural Network and CART in Telecom System<br>基于多准则神经网络与分类回归树的电信行业异动客户识别系统
%A YAO Min
%A SHEN Bin
%A LI Ming-fang
%A <br>姚敏
%A 沈斌
%A 李明芳
%J 系统工程理论与实践
%D 2004
%I 
%X As the telecom system an application object, this paper presents a kind of unusual customers recognition system based on multi\|criteria neural networks (MCNN) and classification and regression tree (CART) in telecommunication system. The system reduces customers' attribute by multi\|criteria neural networks first. Then it constructs classification and regression trees to recognize unusual customers. Through actual validating to large customer data in Zhejiang telecom system, the results indicate that this system is more robustious and more effective.
%K CART
%K artificial neural networks
%K multi-criteria
%K unusual customers
%K data mining<br>分类回归树
%K 人工神经网络
%K 多准则
%K 异动客户
%K 数据挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=6780D83C9AB071E1&yid=D0E58B75BFD8E51C&vid=B91E8C6D6FE990DB&iid=94C357A881DFC066&sid=46CB27789995047D&eid=06EA2770E96C5402&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=8&reference_num=11