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Exploiting time-varying RFM measures for customer churn prediction with deep neural networks.
C. Gary Mena
Kristof Coussement
Koen W. De Bock
Arno De Caigny
Stefan Lessmann
Published in:
Ann. Oper. Res. (2024)
Keyphrases
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customer churn
prediction model
neural network
churn prediction
global exponential stability
prediction accuracy
pattern recognition
customer segmentation
fuzzy logic
back propagation
random forest
decision trees
regression model