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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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Data accuracy's impact on segmentation performance : benchmarking RFM analysis, logistic regression, and decision trees
Coussement, Kristof; Van den Bossche, Filip; De Bock, … - In: Journal of business research : JBR 67 (2014) 1, pp. 2751-2758
Persistent link: https://www.econbiz.de/10010235325
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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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Incorporating textual information in customer churn prediction models based on a convolutional neural network
Caigny, Arno de; Coussement, Kristof; De Bock, Koen W.; … - In: International journal of forecasting 36 (2020) 4, pp. 1563-1578
Persistent link: https://www.econbiz.de/10012547130