Dirk Van den Poel

2008
30	EE	Anita Prinzie, Dirk Van den Poel: Dynamic Bayesian Networks for Acquisition Pattern Analysis: A Financial-Services Cross-Sell Application. PAKDD Workshops 2008: 123-133
29	EE	Kristof Coussement, Dirk Van den Poel: Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques. Expert Syst. Appl. 34(1): 313-327 (2008)
28	EE	Anita Prinzie, Dirk Van den Poel: Random Forests for multiclass classification: Random MultiNomial Logit. Expert Syst. Appl. 34(3): 1721-1732 (2008)
27	EE	Jonathan Burez, Dirk Van den Poel: Separating financial from commercial customer churn: A modeling step towards resolving the conflict between the sales and credit department. Expert Syst. Appl. 35(1-2): 497-514 (2008)
2007
26	EE	Anita Prinzie, Dirk Van den Poel: Random Multiclass Classification: Generalizing Random Forests to Random MNL and Random NB. DEXA 2007: 349-358
25	EE	Anita Prinzie, Dirk Van den Poel: Predicting home-appliance acquisition sequences: Markov/Markov for Discrimination and survival analysis for modeling sequential information in NPTB models. Decision Support Systems 44(1): 28-45 (2007)
24	EE	Bart Larivière, Dirk Van den Poel: Banking behaviour after the lifecycle event of "moving in together": An exploratory study of the role of marketing investments. European Journal of Operational Research 183(1): 345-369 (2007)
23	EE	Wouter Buckinx, Geert Verstraeten, Dirk Van den Poel: Predicting customer loyalty using the internal transactional database. Expert Syst. Appl. 32(1): 125-134 (2007)
22	EE	Jonathan Burez, Dirk Van den Poel: CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services. Expert Syst. Appl. 32(2): 277-288 (2007)
2006
21	EE	Anita Prinzie, Dirk Van den Poel: Exploiting Randomness for Feature Selection in Multinomial Logit: A CRM Cross-Sell Application. Industrial Conference on Data Mining 2006: 310-323
20		Geert Verstraeten, Dirk Van den Poel: Using Predicted Outcome Stratified Sampling to Reduce the Variability in Predictive Performance of a One-Shot Train-and-Test Split for Individual Customer Predictions. Industrial Conference on Data Mining - Posters 2006: 214-224
19	EE	Anita Prinzie, Dirk Van den Poel: Incorporating sequential information into traditional classification models by using an element/position-sensitive SAM. Decision Support Systems 42(2): 508-526 (2006)
18	EE	Anita Prinzie, Dirk Van den Poel: Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models. European Journal of Operational Research 170(3): 710-734 (2006)
17	EE	Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Dirk Van den Poel, Dirk-Emma Baestaens, Marleen Willekens: Bayesian kernel based classification for financial distress detection. European Journal of Operational Research 172(3): 979-1003 (2006)
2005
16	EE	Wouter Buckinx, Dirk Van den Poel: Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting. European Journal of Operational Research 164(1): 252-268 (2005)
15	EE	Dirk Van den Poel, Wouter Buckinx: Predicting online-purchasing behaviour. European Journal of Operational Research 166(2): 557-575 (2005)
14	EE	Bernd Vindevogel, Dirk Van den Poel, Geert Wets: Why promotion strategies based on market basket analysis do not work. Expert Syst. Appl. 28(3): 583-590 (2005)
13	EE	Bart Larivière, Dirk Van den Poel: Predicting customer retention and profitability by using random forests and regression forests techniques. Expert Syst. Appl. 29(2): 472-484 (2005)
12	EE	Anita Prinzie, Dirk Van den Poel: Constrained optimization of data-mining problems to improve model performance: A direct-marketing application. Expert Syst. Appl. 29(3): 630-640 (2005)
11	EE	Bart Larivière, Dirk Van den Poel: Investigating the post-complaint period by means of survival analysis. Expert Syst. Appl. 29(3): 667-677 (2005)
2004
10	EE	Bart Baesens, Geert Verstraeten, Dirk Van den Poel, Michael Egmont-Petersen, Patrick Van Kenhove, Jan Vanthienen: Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers. European Journal of Operational Research 156(2): 508-523 (2004)
9	EE	Dirk Van den Poel, Bart Larivière: Customer attrition analysis for financial services using proportional hazard models. European Journal of Operational Research 157(1): 196-217 (2004)
8	EE	Wouter Buckinx, Elke Moons, Dirk Van den Poel, Geert Wets: Customer-adapted coupon targeting using feature selection. Expert Syst. Appl. 26(4): 509-518 (2004)
7	EE	Dirk Van den Poel, Jan De Schamphelaere, Geert Wets: Direct and indirect effects of retail promotions on sales and profits in the do-it-yourself market. Expert Syst. Appl. 27(1): 53-62 (2004)
6	EE	Jedid-Jah Jonker, Nanda Piersma, Dirk Van den Poel: Joint optimization of customer segmentation and marketing policy to maximize long-term profitability. Expert Syst. Appl. 27(2): 159-168 (2004)
5	EE	Bart Larivière, Dirk Van den Poel: Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services. Expert Syst. Appl. 27(2): 277-285 (2004)
2002
4		Stijn Viaene, Bart Baesens, Guido Dedene, Jan Vanthienen, Dirk Van den Poel: Proof Running Two State-Of-The-Art Pattern Recognition Techniques in the Field of Direct Marketing. ICEIS 2002: 446-454
2001
3		Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene: Knowledge discovery in a direct marketing case using least squares support vector machines. Int. J. Intell. Syst. 16(9): 1023-1036 (2001)
2000
2	EE	Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene: Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case. PKDD 2000: 657-664
1998
1	EE	Dirk Van den Poel, Zdzislaw Piasta: Purchase Prediction in Database Marketing with the ProbRough System. Rough Sets and Current Trends in Computing 1998: 593-600

Coauthor Index

1	Bart Baesens	[2] [3] [4] [10] [17]
2	Dirk-Emma Baestaens	[17]
3	Wouter Buckinx	[8] [15] [16] [23]
4	Jonathan Burez	[22] [27]
5	Kristof Coussement	[29]
6	Guido Dedene	[2] [3] [4]
7	Michael Egmont-Petersen	[10]
8	Tony Van Gestel	[2] [3] [17]
9	Jedid-Jah Jonker	[6]
10	Patrick Van Kenhove	[10]
11	Bart Larivière	[5] [9] [11] [13] [24]
12	Elke Moons	[8]
13	Bart De Moor	[2] [3]
14	Zdzislaw Piasta	[1]
15	Nanda Piersma	[6]
16	Anita Prinzie	[12] [18] [19] [21] [25] [26] [28] [30]
17	Jan De Schamphelaere	[7]
18	Johan A. K. Suykens	[2] [3] [17]
19	Jan Vanthienen	[2] [3] [4] [10]
20	Geert Verstraeten	[10] [20] [23]
21	Stijn Viaene	[2] [3] [4]
22	Bernd Vindevogel	[14]
23	Geert Wets	[7] [8] [14]
24	Marleen Willekens	[17]

Colors in the list of coauthors