CHAMP: A Prototype for Automated Cellular Churn Prediction

作者:Brij Masand, Piew Datta, D.R. Mani, Bin Li

摘要

We describe CHAMP (CHurn Analysis, Modeling, and Prediction), an automated system for modeling cellular customer behavior on a large scale. Using historical data from GTE's data warehouse for cellular phone customers, every month CHAMP identifies churn factors for several geographic regions and updates models to generate churn scores predicting who is likely to churn within the near future. CHAMP is capable of developing customized monthly models and churn scores for over one hundred GTE cellular phone markets totaling over 5 million customers.

论文关键词:data mining, knowledge discovery, churn prediction application, predictive modeling

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论文官网地址:https://doi.org/10.1023/A:1009873905876