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Dirk Van den Poel
Dirk Van den Poel
Senior Full Professor (Gewoon Hoogleraar) Data Analytics, Ghent University
Verified email at ugent.be
Title
Cited by
Cited by
Year
Handling class imbalance in customer churn prediction
J Burez, D Van den Poel
Expert Systems with Applications 36 (3), 4626-4636, 2009
6342009
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
5642008
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
5561999
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
5342005
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
5282004
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
4872015
Predicting online-purchasing behaviour
D Van den Poel, W Buckinx
European journal of operational research 166 (2), 557-575, 2005
3872005
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
3832005
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
2732007
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
2732002
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
2482004
Empathy as added value in predicting donation behavior
GA Verhaert, D Van den Poel
Journal of Business Research 64 (12), 1288-1295, 2011
2272011
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
2272006
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
2212008
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
2162008
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
2162004
Random forests for multiclass classification: Random multinomial logit
A Prinzie, D Van den Poel
Expert systems with Applications 34 (3), 1721-1732, 2008
2112008
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
1952009
The role of marketer-generated content in customer engagement marketing
M Meire, K Hewett, M Ballings, V Kumar, D Van den Poel
Journal of Marketing 83 (6), 21-42, 2019
1672019
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
1662004
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