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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

Customer churn prediction in the online gambling industry : the beneficial effect of ensemble learning

Coussement, Kristof; De Bock, Koen W. - In: Journal of business research : JBR 66 (2013) 9, pp. 1629-1636

Persistent link: https://www.econbiz.de/10009757004

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

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

Cost-sensitive business failure prediction when misclassification costs are uncertain : a heterogeneous ensemble selection approach

De Bock, Koen W.; Coussement, Kristof; Lessmann, Stefan - In: European journal of operational research : EJOR 285 (2020) 2, pp. 612-630

Persistent link: https://www.econbiz.de/10012239630

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

A framework for configuring collaborative filtering-based recommendations derived from purchase data

Geuens, Stijn; Coussement, Kristof; De Bock, Koen W. - In: European journal of operational research : EJOR 265 (2018) 1, pp. 208-218

Persistent link: https://www.econbiz.de/10011805405

Explainable analytics for operational research

De Bock, Koen W.; Coussement, Kristof; Caigny, Arno de - In: European journal of operational research : EJOR 317 (2024) 2, pp. 243-248

Persistent link: https://www.econbiz.de/10014635781

Explainable AI for operational research : a defining framework, methods, applications, and a research agenda

De Bock, Koen W.; Coussement, Kristof; Caigny, Arno de; … - In: European journal of operational research : EJOR 317 (2024) 2, pp. 249-272

Persistent link: https://www.econbiz.de/10014635783

Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning

Coussement, Kristof; Bock, Koen W. De - In: Journal of Business Research 66 (2013) 9, pp. 1629-1636

The online gambling industry is one of the most revenue generating branches of the entertainment business, resulting in fierce competition and saturated markets. Therefore it is essential to efficiently retain gamblers. Churn prediction is a promising new alternative in customer relationship...

Persistent link: https://www.econbiz.de/10010869787