CHURN PREDICTION IN A BROADBAND NETWORK

摘要

A churn predictor predicts whether a customer is likely to churn. The churn predictor is built and trained from data collected from multiple customers. The data can include static configuration data and dynamic measured data. A churn predictor builder generates multiple customer instances and processes the instances based on the collected data, and based on separating the instances into one or more training subsets. Based on the processing, the builder generates and saves a churn predictor. The churn predictor can access data for a customer and generate a customer instance for evaluation against the training data. The churn predictor processes the customer instance and generates a churn likelihood score. Based on a churn type, the churn predictor system can generate preventive action for the customer.