Explicitly biased generalization
Computational Intelligence
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
The cascade-correlation learning architecture
Advances in neural information processing systems 2
C4.5: programs for machine learning
C4.5: programs for machine learning
Knowledge discovery on customer churn prediction
MATH'06 Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS
Monitoring and backtesting churn models
Expert Systems with Applications: An International Journal
Application of data mining techniques for customer lifetime value parameters: a review
International Journal of Business Information Systems
Expert Systems with Applications: An International Journal
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We describe CHAMP (CHurn Analysis, Modeling, and Prediction), anautomated 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 regionsand updates models to generate churn scores predicting who is likely tochurn within the near future. CHAMP is capable of developing customizedmonthly models and churn scores for over one hundred GTE cellular phonemarkets totaling over 5 million customers.