Telecom churn prediction modeling and application based on neural network
基于神经网络的电信客户流失预测主题建模及实现

Churn management is a major focus of mobile operators to retain subscribers via satisfying their needs under resource constraints. One of the most important tasks is churn prediction. A customer churn prediction model based on neural network was put forward. Choose analysis variable according to expert empirical evaluation, and calculate the weight of analysis variable using neural network, set up customer churn prediction model and predict customer churn. Compared to decision tree and Bayesian network, the attributes closely related to churn degree were abstracted by using two neural networks. The attributes obtained are more favorable for customer detainment.