| Consumer acceptance of the Internet as a channel of distribution D Van den Poel, J Leunis Journal of Business research 45 (3), 249-256, 1999 | 546 | 1999 |
| Handling class imbalance in customer churn prediction J Burez, D Van den Poel Expert Systems with Applications 36 (3), 4626-4636, 2009 | 542 | 2009 |
| Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques K Coussement, D Van den Poel Expert systems with applications 34 (1), 313-327, 2008 | 512 | 2008 |
| Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting W Buckinx, D Van den Poel European journal of operational research 164 (1), 252-268, 2005 | 488 | 2005 |
| Customer attrition analysis for financial services using proportional hazard models D Van den Poel, B Lariviere European journal of operational research 157 (1), 196-217, 2004 | 479 | 2004 |
| Evaluating multiple classifiers for stock price direction prediction M Ballings, D Van den Poel, N Hespeels, R Gryp Expert systems with Applications 42 (20), 7046-7056, 2015 | 372 | 2015 |
| Predicting online-purchasing behaviour D Van den Poel, W Buckinx European journal of operational research 166 (2), 557-575, 2005 | 365 | 2005 |
| Predicting customer retention and profitability by using random forests and regression forests techniques B Larivière, D Van den Poel Expert systems with applications 29 (2), 472-484, 2005 | 353 | 2005 |
| Bayesian neural network learning for repeat purchase modelling in direct marketing B Baesens, S Viaene, D Van den Poel, J Vanthienen, G Dedene European Journal of Operational Research 138 (1), 191-211, 2002 | 252 | 2002 |
| CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services J Burez, D Van den Poel Expert Systems with Applications 32 (2), 277-288, 2007 | 240 | 2007 |
| Joint optimization of customer segmentation and marketing policy to maximize long-term profitability JJ Jonker, N Piersma, D Van den Poel Expert Systems with Applications 27 (2), 159-168, 2004 | 236 | 2004 |
| Bayesian kernel based classification for financial distress detection T Van Gestel, B Baesens, JAK Suykens, D Van den Poel, DE Baestaens, ... European journal of operational research 172 (3), 979-1003, 2006 | 207 | 2006 |
| Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers B Baesens, G Verstraeten, D Van den Poel, M Egmont-Petersen, ... European Journal of Operational Research 156 (2), 508-523, 2004 | 206 | 2004 |
| Integrating the voice of customers through call center emails into a decision support system for churn prediction K Coussement, D Van den Poel Information & Management 45 (3), 164-174, 2008 | 201 | 2008 |
| Improving customer complaint management by automatic email classification using linguistic style features as predictors K Coussement, D Van den Poel Decision support systems 44 (4), 870-882, 2008 | 193 | 2008 |
| Random forests for multiclass classification: Random multinomial logit A Prinzie, D Van den Poel Expert systems with Applications 34 (3), 1721-1732, 2008 | 187 | 2008 |
| Empathy as added value in predicting donation behavior GA Verhaert, D Van den Poel Journal of Business Research 64 (12), 1288-1295, 2011 | 183 | 2011 |
| Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers K Coussement, D Van den Poel Expert Systems with Applications 36 (3), 6127-6134, 2009 | 173 | 2009 |
| Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services B Larivière, D Van den Poel Expert Systems with Applications 27 (2), 277-285, 2004 | 153 | 2004 |
| Neural network survival analysis for personal loan data B Baesens, T Van Gestel, M Stepanova, D Van den Poel, J Vanthienen Journal of the Operational Research Society 56 (9), 1089-1098, 2005 | 139 | 2005 |
