Dirk Van den Poel
Dirk Van den Poel
Senior Full Professor (Gewoon Hoogleraar) Data Analytics, Ghent University
在 ugent.be 的電子郵件地址已通過驗證
標題
引用次數
引用次數
年份
Handling class imbalance in customer churn prediction
J Burez, D Van den Poel
Expert Systems with Applications 36 (3), 4626-4636, 2009
5502009
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
5172008
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
4912005
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
4822004
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
3802015
Predicting online-purchasing behaviour
D Van den Poel, W Buckinx
European journal of operational research 166 (2), 557-575, 2005
3642005
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
3562005
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
2532002
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
2432007
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
2382004
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
2082006
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
2062004
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
2032008
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
1892008
Empathy as added value in predicting donation behavior
GA Verhaert, D Van den Poel
Journal of Business Research 64 (12), 1288-1295, 2011
1832011
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
1772009
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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