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Ensemble classification based on generalized additive models
De Bock, Koen W.; Coussement, Kristof; Van den Poel, Dirk - 2009
Persistent link: https://www.econbiz.de/10003936509
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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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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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A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
Caigny, Arno de; Coussement, Kristof; De Bock, Koen W. - In: European journal of operational research : EJOR 269 (2018) 2, pp. 760-772
Persistent link: https://www.econbiz.de/10011864442
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Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction
Liu, Zhenkun; Jiang, Ping; De Bock, Koen W.; Wang, Jianzhou - In: Technological forecasting and social change : an … 198 (2024), pp. 1-16
Persistent link: https://www.econbiz.de/10015076450