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Koen Vanhoof: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets
    A Data Mining Framework for Optimal Product Selection in Convenience Stores. [Citation Graph (0, 0)][DBLP]
    ECIS, 2000, pp:- [Conf]
  2. Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets
    Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers. [Citation Graph (0, 0)][DBLP]
    ECML, 2000, pp:88-95 [Conf]
  3. Koen Vanhoof, Josée Bloemer, K. Pauwels
    A Case Study in Loyality and Satisfaction Research. [Citation Graph (0, 0)][DBLP]
    ECML, 1997, pp:290-297 [Conf]
  4. Jerzy Surma, Koen Vanhoof
    Integration Rules and Cases for the Classification Task. [Citation Graph (0, 0)][DBLP]
    ICCBR, 1995, pp:325-334 [Conf]
  5. Birgit Hay, Geert Wets, Koen Vanhoof
    Multidimensional Sequence Alignment Methods: Discovering Navigation Patterns on Web Sites Presenting Page- and Time Information. [Citation Graph (0, 0)][DBLP]
    ICMLA, 2002, pp:57-63 [Conf]
  6. Waldemar Jaronski, Josée Bloemer, Koen Vanhoof, Geert Wets
    Exploiting sensitivity analysis in Bayesian networks for customer satisfaction study. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2004, pp:39-48 [Conf]
  7. Birgit Hay, Geert Wets, Koen Vanhoof
    Discovering Interesting Navigations on a Web Site Using SAMI. [Citation Graph (0, 0)][DBLP]
    ITWP, 2003, pp:187-200 [Conf]
  8. Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets
    A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:300-304 [Conf]
  9. Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets
    Using Association Rules for Product Assortment Decisions: A Case Study. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:254-260 [Conf]
  10. Birgit Hay, Geert Wets, Koen Vanhoof
    Web Usage Mining by Means of Multidimensional Sequence Alignment Methods. [Citation Graph (0, 0)][DBLP]
    WEBKDD, 2002, pp:50-65 [Conf]
  11. Kris Brijs, Koen Vanhoof, Tom Brijs, Dimitris Karlis
    Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude. [Citation Graph (0, 0)][DBLP]
    MDAI, 2006, pp:138-149 [Conf]
  12. Gerrit K. Janssens, Kenneth Sörensen, Arthur Limère, Koen Vanhoof
    Analysis of Company Growth Data Using Genetic Algorithms on Binary Trees. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:234-239 [Conf]
  13. Filip Coenen, Gilbert Swinnen, Koen Vanhoof, Geert Wets
    The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:301-308 [Conf]
  14. Tom Brijs, Koen Vanhoof
    Cost Sensitive Discretization of Numeric Attributes. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:102-110 [Conf]
  15. Davy Janssens, Tom Brijs, Koen Vanhoof, Geert Wets
    Evaluating the performance of cost-based discretization versus entropy- and error-based discretization. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 2006, v:33, n:11, pp:3107-3123 [Journal]
  16. Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets
    A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  17. Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets
    Building an Association Rules Framework to Improve Product Assortment Decisions. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2004, v:8, n:1, pp:7-23 [Journal]
  18. Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof
    The development of an adapted Markov chain modelling heuristic and simulation framework in the context of transportation research. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2005, v:28, n:1, pp:105-117 [Journal]
  19. Tom Brijs, Koen Vanhoof, Geert Wets
    Reducing redundancy in characteristic rule discovery by using integer programming techniques. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2000, v:4, n:3-4, pp:229-240 [Journal]
  20. Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof
    Adapting the CBA algorithm by means of intensity of implication. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2005, v:173, n:4, pp:305-318 [Journal]
  21. Birgit Hay, Geert Wets, Koen Vanhoof
    Mining Navigation Patterns Using a Sequence Alignment Method. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2004, v:6, n:2, pp:150-163 [Journal]
  22. Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof, Theo A. Arentze, Harry J. P. Timmermans
    Integrating Bayesian networks and decision trees in a sequential rule-based transportation model. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2006, v:175, n:1, pp:16-34 [Journal]
  23. Anja Cielen, Ludo Peeters, Koen Vanhoof
    Bankruptcy prediction using a data envelopment analysis. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2004, v:154, n:2, pp:526-532 [Journal]
  24. Marko Robnik-Sikonja, Koen Vanhoof
    Evaluation of ordinal attributes at value level. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2007, v:14, n:2, pp:225-243 [Journal]

  25. ARUBAS: An Association Rule Based Similarity Framework for Associative Classifiers. [Citation Graph (, )][DBLP]


  26. The Importance of Aggregation Operator Characteristics in Marketing Research. [Citation Graph (, )][DBLP]


  27. Internal Fraud Risk Reduction - Results of a Data Mining Case Study. [Citation Graph (, )][DBLP]


  28. Identiying Homogenous Customer Segments for Low Risk Email Marketing Experiments. [Citation Graph (, )][DBLP]


  29. Ordinal Evaluation: A New Perspective on Country Images. [Citation Graph (, )][DBLP]


  30. Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering. [Citation Graph (, )][DBLP]


  31. Knowledge Management and eLearning in Professional Development. [Citation Graph (, )][DBLP]


  32. Inductive Development of Customer e-Loyalty Theory with Bayesian Networks. [Citation Graph (, )][DBLP]


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