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Dirk Van den Poel: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    ICEIS, 2002, pp:446-454 [Conf]
  2. 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. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining - Posters, 2006, pp:214-224 [Conf]
  3. Anita Prinzie, Dirk Van den Poel
    Exploiting Randomness for Feature Selection in Multinomial Logit: A CRM Cross-Sell Application. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2006, pp:310-323 [Conf]
  4. 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. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:657-664 [Conf]
  5. Dirk Van den Poel, Zdzislaw Piasta
    Purchase Prediction in Database Marketing with the ProbRough System. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 1998, pp:593-600 [Conf]
  6. Anita Prinzie, Dirk Van den Poel
    Incorporating sequential information into traditional classification models by using an element/position-sensitive SAM. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2006, v:42, n:2, pp:508-526 [Journal]
  7. Wouter Buckinx, Elke Moons, Dirk Van den Poel, Geert Wets
    Customer-adapted coupon targeting using feature selection. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2004, v:26, n:4, pp:509-518 [Journal]
  8. Jedid-Jah Jonker, Nanda Piersma, Dirk Van den Poel
    Joint optimization of customer segmentation and marketing policy to maximize long-term profitability. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2004, v:27, n:2, pp:159-168 [Journal]
  9. 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. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2004, v:27, n:2, pp:277-285 [Journal]
  10. Bart Larivière, Dirk Van den Poel
    Predicting customer retention and profitability by using random forests and regression forests techniques. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2005, v:29, n:2, pp:472-484 [Journal]
  11. Bart Larivière, Dirk Van den Poel
    Investigating the post-complaint period by means of survival analysis. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2005, v:29, n:3, pp:667-677 [Journal]
  12. 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. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2004, v:27, n:1, pp:53-62 [Journal]
  13. Anita Prinzie, Dirk Van den Poel
    Constrained optimization of data-mining problems to improve model performance: A direct-marketing application. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2005, v:29, n:3, pp:630-640 [Journal]
  14. Bernd Vindevogel, Dirk Van den Poel, Geert Wets
    Why promotion strategies based on market basket analysis do not work. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2005, v:28, n:3, pp:583-590 [Journal]
  15. 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. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:32, n:2, pp:277-288 [Journal]
  16. Wouter Buckinx, Geert Verstraeten, Dirk Van den Poel
    Predicting customer loyalty using the internal transactional database. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:32, n:1, pp:125-134 [Journal]
  17. 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. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2001, v:16, n:9, pp:1023-1036 [Journal]
  18. 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. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2006, v:172, n:3, pp:979-1003 [Journal]
  19. Anita Prinzie, Dirk Van den Poel
    Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2006, v:170, n:3, pp:710-734 [Journal]
  20. Wouter Buckinx, Dirk Van den Poel
    Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2005, v:164, n:1, pp:252-268 [Journal]
  21. Dirk Van den Poel, Wouter Buckinx
    Predicting online-purchasing behaviour. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2005, v:166, n:2, pp:557-575 [Journal]
  22. Dirk Van den Poel, Bart Larivière
    Customer attrition analysis for financial services using proportional hazard models. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2004, v:157, n:1, pp:196-217 [Journal]
  23. 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. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2004, v:156, n:2, pp:508-523 [Journal]
  24. Anita Prinzie, Dirk Van den Poel
    Random Multiclass Classification: Generalizing Random Forests to Random MNL and Random NB. [Citation Graph (0, 0)][DBLP]
    DEXA, 2007, pp:349-358 [Conf]
  25. 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. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2007, v:44, n:1, pp:28-45 [Journal]

  26. Dynamic Bayesian Networks for Acquisition Pattern Analysis: A Financial-Services Cross-Sell Application. [Citation Graph (, )][DBLP]


  27. Extracting Consumers Needs for New Products - A Web Mining Approach. [Citation Graph (, )][DBLP]


  28. Improving customer complaint management by automatic email classification using linguistic style features as predictors. [Citation Graph (, )][DBLP]


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