A knowledge-based SWOT-analysis system as an instrument for strategic planning in small and medium sized enterprises G Houben, K Lenie, K Vanhoof Decision support systems 26 (2), 125-135, 1999 | 913 | 1999 |
Using association rules for product assortment decisions: A case study T Brijs, G Swinnen, K Vanhoof, G Wets Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 555 | 1999 |
Bankruptcy prediction using a data envelopment analysis A Cielen, L Peeters, K Vanhoof European Journal of Operational Research 154 (2), 526-532, 2004 | 312 | 2004 |
Traffic accident segmentation by means of latent class clustering B Depaire, G Wets, K Vanhoof Accident Analysis & Prevention 40 (4), 1257-1266, 2008 | 303 | 2008 |
A review on methods and software for fuzzy cognitive maps G Felix, G Nápoles, R Falcon, W Froelich, K Vanhoof, R Bello Artificial intelligence review 52, 1707-1737, 2019 | 269 | 2019 |
A business process mining application for internal transaction fraud mitigation M Jans, JM Van Der Werf, N Lybaert, K Vanhoof Expert Systems with Applications 38 (10), 13351-13359, 2011 | 266 | 2011 |
Benchmarking road safety: Lessons to learn from a data envelopment analysis E Hermans, T Brijs, G Wets, K Vanhoof Accident Analysis & Prevention 41 (1), 174-182, 2009 | 209 | 2009 |
Profiling of high-frequency accident locations by use of association rules K Geurts, G Wets, T Brijs, K Vanhoof Transportation research record 1840 (1), 123-130, 2003 | 197 | 2003 |
Collateral, relationship lending and family firms T Steijvers, W Voordeckers, K Vanhoof Small Business Economics 34, 243-259, 2010 | 184 | 2010 |
Road safety risk evaluation and target setting using data envelopment analysis and its extensions Y Shen, E Hermans, T Brijs, G Wets, K Vanhoof Accident Analysis & Prevention 48, 430-441, 2012 | 157 | 2012 |
Integrating Bayesian networks and decision trees in a sequential rule-based transportation model D Janssens, G Wets, T Brijs, K Vanhoof, T Arentze, H Timmermans European Journal of operational research 175 (1), 16-34, 2006 | 133 | 2006 |
Building an association rules framework to improve product assortment decisions T Brijs, G Swinnen, K Vanhoof, G Wets Data mining and knowledge discovery 8, 7-23, 2004 | 130 | 2004 |
A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model T Brijs, B Goethals, G Swinnen, K Vanhoof, G Wets Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 129 | 2000 |
Detecting malicious URLs using machine learning techniques F Vanhoenshoven, G Nápoles, R Falcon, K Vanhoof, M Köppen 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 127 | 2016 |
Internal fraud risk reduction: Results of a data mining case study M Jans, N Lybaert, K Vanhoof International Journal of Accounting Information Systems 11 (1), 17-41, 2010 | 127 | 2010 |
On the convergence of sigmoid fuzzy cognitive maps G Nápoles, E Papageorgiou, R Bello, K Vanhoof Information Sciences 349, 154-171, 2016 | 111 | 2016 |
A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation Y Shen, E Hermans, D Ruan, G Wets, T Brijs, K Vanhoof Expert systems with applications 38 (12), 15262-15272, 2011 | 102 | 2011 |
Mining navigation patterns using a sequence alignment method B Hay, G Wets, K Vanhoof Knowledge and information systems 6 (2), 150-163, 2004 | 96 | 2004 |
Defining interestigness for association rules T Brijs, K Vanhoof, G Wets Institute of Information Theories and Applications FOI ITHEA, 2003 | 96 | 2003 |
Clustering navigation patterns on a website using a sequence alignment method B Hay, G Wets, K Vanhoof Intelligent Techniques for Web Personalization: IJCAI, 1-6, 2001 | 95 | 2001 |