Jan Vanthienen
Cited by
Cited by
Process mining manifesto
W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ...
Business Process Management Workshops: BPM 2011 International Workshops …, 2012
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, 627-635, 2003
Benchmarking least squares support vector machine classifiers
T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ...
Machine learning 54, 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
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
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
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
Transformational issues of big data and analytics in networked business
B Baesens, R Bapna, JR Marsden, J Vanthienen, JL Zhao
MIS quarterly 40 (4), 807-818, 2016
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
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
Digital transformation as an interaction-driven perspective between business, society, and technology
Z Van Veldhoven, J Vanthienen
Electronic markets 32 (2), 629-644, 2022
Designing compliant business processes with obligations and permissions
S Goedertier, J Vanthienen
International Conference on Business Process Management, 5-14, 2006
Robust process discovery with artificial negative events
S Goedertier, D Martens, J Vanthienen, B Baesens
Journal of Machine Learning Research 10, 1305-1340, 2009
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
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
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics
M Óskarsdóttir, C Bravo, C Sarraute, J Vanthienen, B Baesens
Applied Soft Computing 74, 26-39, 2019
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, 1089-1098, 2005
Performance of classification models from a user perspective
D Martens, J Vanthienen, W Verbeke, B Baesens
Decision Support Systems 51 (4), 782-793, 2011
Defining analytics maturity indicators: A survey approach
J Lismont, J Vanthienen, B Baesens, W Lemahieu
International Journal of Information Management 37 (3), 114-124, 2017
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