2008 |
32 | EE | Benoît Depaire,
Koen Vanhoof,
Geert Wets:
ARUBAS: An Association Rule Based Similarity Framework for Associative Classifiers.
ICDM Workshops 2008: 692-699 |
31 | | Mieke Jans,
Nadine Lybaert,
Koen Vanhoof:
Internal Fraud Risk Reduction - Results of a Data Mining Case Study.
ICEIS (2) 2008: 161-166 |
30 | EE | George Sammour,
Jeanne Schreurs,
Abdullah Y. Zoubi,
Koen Vanhoof:
Knowledge Management and eLearning in Professional Development.
WSKS (2) 2008: 178-183 |
2007 |
29 | | Kris Brijs,
Benoît Depaire,
Koen Vanhoof,
Tom Brijs,
Geert Wets:
The Importance of Aggregation Operator Characteristics in Marketing Research.
ICEIS (2) 2007: 237-246 |
28 | EE | Marko Robnik-Sikonja,
Koen Vanhoof:
Evaluation of ordinal attributes at value level.
Data Min. Knowl. Discov. 14(2): 225-243 (2007) |
2006 |
27 | EE | Kris Brijs,
Koen Vanhoof,
Tom Brijs,
Dimitris Karlis:
Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude.
MDAI 2006: 138-149 |
26 | EE | Davy Janssens,
Tom Brijs,
Koen Vanhoof,
Geert Wets:
Evaluating the performance of cost-based discretization versus entropy- and error-based discretization.
Computers & OR 33(11): 3107-3123 (2006) |
25 | EE | 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.
European Journal of Operational Research 175(1): 16-34 (2006) |
2005 |
24 | EE | Waldemar Jaronski,
Koen Vanhoof,
Josée Bloemer:
Inductive Development of Customer e-Loyalty Theory with Bayesian Networks.
CORES 2005: 187-194 |
23 | EE | Gerrit K. Janssens,
Kenneth Sörensen,
Arthur Limère,
Koen Vanhoof:
Analysis of Company Growth Data Using Genetic Algorithms on Binary Trees.
PAKDD 2005: 234-239 |
22 | EE | Koen Vanhoof,
Pieter Pauwels,
József Dombi,
Tom Brijs,
Geert Wets:
Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction.
Intelligent Data Mining 2005: 237-252 |
21 | EE | Davy Janssens,
Geert Wets,
Tom Brijs,
Koen Vanhoof:
Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System.
Intelligent Data Mining 2005: 253-265 |
20 | EE | 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.
Expert Syst. Appl. 28(1): 105-117 (2005) |
19 | EE | Davy Janssens,
Geert Wets,
Tom Brijs,
Koen Vanhoof:
Adapting the CBA algorithm by means of intensity of implication.
Inf. Sci. 173(4): 305-318 (2005) |
2004 |
18 | | Waldemar Jaronski,
Josée Bloemer,
Koen Vanhoof,
Geert Wets:
Exploiting sensitivity analysis in Bayesian networks for customer satisfaction study.
Intelligent Information Systems 2004: 39-48 |
17 | EE | Tom Brijs,
Gilbert Swinnen,
Koen Vanhoof,
Geert Wets:
Building an Association Rules Framework to Improve Product Assortment Decisions.
Data Min. Knowl. Discov. 8(1): 7-23 (2004) |
16 | EE | Anja Cielen,
Ludo Peeters,
Koen Vanhoof:
Bankruptcy prediction using a data envelopment analysis.
European Journal of Operational Research 154(2): 526-532 (2004) |
15 | EE | Birgit Hay,
Geert Wets,
Koen Vanhoof:
Mining Navigation Patterns Using a Sequence Alignment Method.
Knowl. Inf. Syst. 6(2): 150-163 (2004) |
2003 |
14 | EE | Birgit Hay,
Geert Wets,
Koen Vanhoof:
Discovering Interesting Navigations on a Web Site Using SAMI.
ITWP 2003: 187-200 |
2002 |
13 | | Birgit Hay,
Geert Wets,
Koen Vanhoof:
Multidimensional Sequence Alignment Methods: Discovering Navigation Patterns on Web Sites Presenting Page- and Time Information.
ICMLA 2002: 57-63 |
12 | EE | Birgit Hay,
Geert Wets,
Koen Vanhoof:
Web Usage Mining by Means of Multidimensional Sequence Alignment Methods.
WEBKDD 2002: 50-65 |
2001 |
11 | EE | 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
CoRR cs.DB/0112013: (2001) |
2000 |
10 | EE | Tom Brijs,
Gilbert Swinnen,
Koen Vanhoof,
Geert Wets:
A Data Mining Framework for Optimal Product Selection in Convenience Stores.
ECIS 2000 |
9 | EE | Tom Brijs,
Gilbert Swinnen,
Koen Vanhoof,
Geert Wets:
Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers.
ECML 2000: 88-95 |
8 | EE | 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.
KDD 2000: 300-304 |
7 | EE | Tom Brijs,
Koen Vanhoof,
Geert Wets:
Reducing redundancy in characteristic rule discovery by using integer programming techniques.
Intell. Data Anal. 4(3-4): 229-240 (2000) |
1999 |
6 | EE | Tom Brijs,
Gilbert Swinnen,
Koen Vanhoof,
Geert Wets:
Using Association Rules for Product Assortment Decisions: A Case Study.
KDD 1999: 254-260 |
5 | | Filip Coenen,
Gilbert Swinnen,
Koen Vanhoof,
Geert Wets:
The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning.
PKDD 1999: 301-308 |
1998 |
4 | | Tom Brijs,
Koen Vanhoof:
Cost Sensitive Discretization of Numeric Attributes.
PKDD 1998: 102-110 |
1997 |
3 | | Koen Vanhoof,
Josée Bloemer,
K. Pauwels:
A Case Study in Loyality and Satisfaction Research.
ECML 1997: 290-297 |
1995 |
2 | | Jerzy Surma,
Koen Vanhoof:
Integration Rules and Cases for the Classification Task.
ICCBR 1995: 325-334 |
1994 |
1 | EE | Koen Vanhoof,
Jerzy Surma:
Comparing Two Hybrid Expert System Shells.
International Journal of Software Engineering and Knowledge Engineering 4(1): 159-164 (1994) |