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
5552009
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
5461999
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
5192008
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
4932005
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
4862004
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
3942015
Predicting online-purchasing behaviour
D Van den Poel, W Buckinx
European journal of operational research 166 (2), 557-575, 2005
3662005
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
3582005
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
2542002
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
2442007
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
2402004
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
2102006
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
2072004
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
2062008
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
1942008
Random forests for multiclass classification: Random multinomial logit
A Prinzie, D Van den Poel
Expert systems with Applications 34 (3), 1721-1732, 2008
1932008
Empathy as added value in predicting donation behavior
GA Verhaert, D Van den Poel
Journal of Business Research 64 (12), 1288-1295, 2011
1872011
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
1762009
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
1552004
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
1392005
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