Jan Vanthienen
TitleCited byYear
Ant colony optimization
M Dorigo, M Birattari
Encyclopedia of machine learning, 36-39, 2010
Benchmarking state-of-the-art classification algorithms for credit scoring
B Baesens, T Van Gestel, S Viaene, M Stepanova, J Suykens, ...
Journal of the operational research society 54 (6), 627-635, 2003
Process mining manifesto
W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ...
International Conference on Business Process Management, 169-194, 2011
Benchmarking least squares support vector machine classifiers
T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ...
Machine learning 54 (1), 5-32, 2004
Using neural network rule extraction and decision tables for credit-risk evaluation
B Baesens, R Setiono, C Mues, J Vanthienen
Management science 49 (3), 312-329, 2003
Classification with ant colony optimization
D Martens, M De Backer, R Haesen, J Vanthienen, M Snoeck, B Baesens
IEEE Transactions on Evolutionary Computation 11 (5), 651-665, 2007
Comprehensible credit scoring models using rule extraction from support vector machines
D Martens, B Baesens, T Van Gestel, J Vanthienen
European journal of operational research 183 (3), 1466-1476, 2007
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
J Huysmans, K Dejaeger, C Mues, J Vanthienen, B Baesens
Decision Support Systems 51 (1), 141-154, 2011
Bayesian neural network learning for repeat purchase modelling in direct marketing
B Baesens, S Viaene, D Van den Poel, J Vanthienen, G Dedene
European Journal of Operational Research 138 (1), 191-211, 2002
Designing compliant business processes with obligations and permissions
S Goedertier, J Vanthienen
International Conference on Business Process Management, 5-14, 2006
Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers
B Baesens, G Verstraeten, D Van den Poel, M Egmont-Petersen, ...
European Journal of Operational Research 156 (2), 508-523, 2004
A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs
J De Weerdt, M De Backer, J Vanthienen, B Baesens
Information Systems 37 (7), 654-676, 2012
Robust process discovery with artificial negative events
S Goedertier, D Martens, J Vanthienen, B Baesens
Journal of Machine Learning Research 10 (Jun), 1305-1340, 2009
Predicting going concern opinion with data mining
D Martens, L Bruynseels, B Baesens, M Willekens, J Vanthienen
Decision Support Systems 45 (4), 765-777, 2008
Neural network survival analysis for personal loan data
B Baesens, T Van Gestel, M Stepanova, D Van den Poel, J Vanthienen
Journal of the Operational Research Society 56 (9), 1089-1098, 2005
Transformational Issues of Big Data and Analytics in Networked Business.
B Baesens, R Bapna, JR Marsden, J Vanthienen, JL Zhao
MIS quarterly 40 (4), 2016
Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms
F Hoffmann, B Baesens, C Mues, T Van Gestel, J Vanthienen
European journal of operational research 177 (1), 540-555, 2007
Active trace clustering for improved process discovery
J De Weerdt, S Vanden Broucke, J Vanthienen, B Baesens
IEEE Transactions on Knowledge and Data Engineering 25 (12), 2708-2720, 2013
Rule extraction from support vector machines: an overview of issues and application in credit scoring
D Martens, J Huysmans, R Setiono, J Vanthienen, B Baesens
Rule extraction from support vector machines, 33-63, 2008
Using rule extraction to improve the comprehensibility of predictive models
J Huysmans, B Baesens, J Vanthienen
Available at SSRN 961358, 2006
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