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Evaluating multi-label classifiers and recommender systems in the financial service sector
Bogaert, Matthias; Lootens, Justine; Van den Poel, Dirk; … - In: European journal of operational research : EJOR 279 (2019) 2, pp. 620-634
Persistent link: https://www.econbiz.de/10012110737
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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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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
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Evaluating the added value of pictorial data for customer churn prediction
Ballings, Michel; Van den Poel, Dirk; Verhagen, Emmanuel - 2013
Persistent link: https://www.econbiz.de/10010411720
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Churn prediction in subscription services : an application of support vector machines while comparing two parameter-selection techniques
Coussement, Kristof (contributor);  … - 2006
Persistent link: https://www.econbiz.de/10003376958
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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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Predicting customer profitability during acquisition : finding the optimal combination of data source and data mining technique
D'Haen, Jeroen; Van den Poel, Dirk; Thorleuchter, Dirk - 2012
Persistent link: https://www.econbiz.de/10009667730
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Cash demand forecasting in ATMs by clustering and neural networks
Venkatesh, Kamini; Ravi, Vadlamani; Prinzie, Anita; Van … - In: European journal of operational research : EJOR 232 (2014) 2, pp. 383-392
Persistent link: https://www.econbiz.de/10010224693
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An extended Huff-model for robustly benchmarking and predicting retail network performance
De Beule, Matthias; Van den Poel, Dirk; Van de Weghe, Nico - 2013
Persistent link: https://www.econbiz.de/10010411723
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Cash demand forecasting in ATMs by clustering and neural networks
Kamini, Venkatesh; Ravi, Vadlamani; Prinzie, Anita; Van … - 2013
Persistent link: https://www.econbiz.de/10010411724