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Predicting customer retention and profitability by using random forests and regression forests techniques
Larivière, Bart (contributor);  … - 2004
Persistent link: https://www.econbiz.de/10002593764
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The kinked demand curve and price rigidity : evidence from scanner data
Dossche, Maarten; Heylen, Freddy; Van den Poel, Dirk - In: The Scandinavian journal of economics 112 (2010) 4, pp. 723-752
Persistent link: https://www.econbiz.de/10008988557
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Empathy as added value in predicting donation behavior
Verhaert, Griet A.; Van den Poel, Dirk - In: Journal of business research : JBR 64 (2011) 12, pp. 1288-1295
Persistent link: https://www.econbiz.de/10009382579
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An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
De Bock, Koen W.; Van den Poel, Dirk - 2011
Persistent link: https://www.econbiz.de/10009240156
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CRM in social media : predicting increases in Facebook usage frequency
Ballings, Michel; Van den Poel, Dirk - In: European journal of operational research : EJOR 244 (2015) 1, pp. 248-260
Persistent link: https://www.econbiz.de/10010531944
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Technology classification with latent semantic indexing
Thorleuchter, Dirk; Van den Poel, Dirk - 2012
Persistent link: https://www.econbiz.de/10009664937
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Improved multilevel security with latent semantic indexing
Thorleuchter, Dirk; Van den Poel, Dirk - 2012
Persistent link: https://www.econbiz.de/10009665012
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Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences
Miguéis, Vera L.; Van den Poel, Dirk; Camanho, A. S.; … - 2012
Persistent link: https://www.econbiz.de/10009665058
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Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models
De Bock, Koen W.; Van den Poel, Dirk - 2012
Persistent link: https://www.econbiz.de/10009665069
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The relevant length of customer event history for churn prediction : how long is long enough?
Ballings, Michel; Van den Poel, Dirk - 2012
Persistent link: https://www.econbiz.de/10009665091