东南大学学报（英文版）2007，Vol.23Issue(1)：135-138,4.
一种代价敏感学习方法在电信业流失预测中的应用
Application of a cost-sensitive method for churn prediction in telecommunication industry
赵巍 1何建敏 1王纯麟 1陈金波1
作者信息
- 1. 东南大学经济管理学院,南京,210096
- 折叠
摘要
Abstract
To deal with the data mining problem of asymmetry misclassification cost,an innovative churn prediction method is proposed based on existing churn prediction research.This method adjusts the misclassification cost based on the C4.5 decision tree as a baseline classifier,which can obtain the prediction model with a minimum error rate based on the assumption that all misclassifications have the same cost,to realize cost-sensitive learning.Results from customer data of a certain Chinese telecommunication company and the fact that the churners and the non-churners have different misclassification costs demonstrate that by altering the sampling ratio of churners and non-churners,this cost-sensitive learning method can considerably reduce the total misclassification cost produced by traditional classification methods.This method can also play an important role in promoting core competence of Chinese telecommunication industry.关键词
代价敏感学习/C4.5/电信业/客户流失Key words
cost-sensitive learning/C4.5/telecommunication industry/customer churn分类
管理科学引用本文复制引用
赵巍,何建敏,王纯麟,陈金波..一种代价敏感学习方法在电信业流失预测中的应用[J].东南大学学报（英文版）,2007,23(1):135-138,4.
