关键词: 因果推理, 贝叶斯网络, 机器学习, 客户流失

Abstract: The analysis system of subscriber churn in wireless carriers was constructed based on data mining. It used Bayesian network to build the subscriber churn model from existing business data. So the market people could make corresponding policy. Experiments prove that the priority knowledge can be corrected continually by inference information of Bayesian network, and help to solve the problem of subscriber churn.

Key words: causality, Bayesian network, machine learn, subscriber churn