| 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 | 1112 | 2011 |
| 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 | 1001 | 2003 |
| 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 | 827 | 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 | 572 | 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 | 488 | 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 | 474 | 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 | 302 | 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 | 249 | 2002 |
| Designing compliant business processes with obligations and permissions S Goedertier, J Vanthienen International Conference on Business Process Management, 5-14, 2006 | 235 | 2006 |
| 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 | 214 | 2012 |
| 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 | 209 | 2004 |
| 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 | 190 | 2016 |
| Robust process discovery with artificial negative events S Goedertier, D Martens, J Vanthienen, B Baesens Journal of Machine Learning Research 10, 1305-1340, 2009 | 186 | 2009 |
| 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 | 140 | 2013 |
| 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 | 137 | 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 | 136 | 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 | 117 | 2011 |
| 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 | 117 | 2007 |
| 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 | 109 | 2008 |
| A robust F-measure for evaluating discovered process models J De Weerdt, M De Backer, J Vanthienen, B Baesens 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2011 | 101 | 2011 |
Christophe MuesProfessor of Data Science and Information Systems, University of SouthamptonGeverifieerd e-mailadres voor soton.ac.uk
