Southampton Management School

Bart Baesens

MSc PhD

Primary position:
Lecturer

The University of Southampton's electronic library (e-prints)

Article

Loterman, G., Brown, I., Martens, D., Mues, C. and Baesens, B. (2012) Benchmarking regression algorithms for loss given default modeling. International Journal of Forecasting(doi:10.1016/j.ijforecast.2011.01.006) (In Press)
Setiono, R., Baesens, B. and Mues, C. (2011) Rule extraction from minimal neural networks for credit card screening. International Journal of Neural Systems, 21, (4), 265-276. (doi:10.1142/S0129065711002821)
Martens, David, Vanhoutte, Christine, De Winne, Sophie, Baesens, Bart, Sels, Luc and Mues, Christophe (2011) Identifying financially successful start-up profiles with data mining. Expert Systems with Applications, 38, (5), 5794-5800. (doi:10.1016/j.eswa.2010.10.052)
Huysmans, Johan, Dejaeger, Karel, Mues, Christophe, Vanthienen, Jan and Baesens, Bart (2011) An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models. Decision Support Systems, 51, (1), 141-154. (doi:10.1016/j.dss.2010.12.003)
Verbeke, Wouter, Martens, David, Mues, Christophe and Baesens, Bart (2011) Building comprehensible customer churn prediction models with advanced rule induction techniques. Expert Systems with Applications, 38, (3), 2354-2364. (doi:10.1016/j.eswa.2010.08.023)
Lima, E., Mues, C. and Baesens, B. (2011) Monitoring and backtesting churn models. Expert Systems with Applications, 38, (1), 975-982. (doi:10.1016/j.eswa.2010.07.091)
Martens, D., Van Gestel, T., De Backer, M., Haesen, R., Vanthienen, J. and Baesens, B. (2010) Credit rating prediction using Ant Colony Optimization. Journal of the Operational Research Society, 61, (4), 561-573. (doi:10.1057/jors.2008.164)
Van Laere, Elizabeth and Baesens, Bart (2010) The development of a simple and intuitive rating system under Solvency II. Insurance: Mathematics and Economics(doi:10.1016/j.insmatheco.2010.01.008)
Lima, E., Mues, C. and Baesens, B. (2009) Domain knowledge integration in data mining using decision tables: case studies in churn prediction. Journal of the Operational Research Society, 60, (8), 1096-1106. (doi:10.1057/jors.2008.161)
Glady, Nicolas, Baesens, Bart and Croux, Christophe (2009) Modeling churn using customer lifetime value. European Journal of Operational Research, 197, (1), 402-411. (doi:10.1016/j.ejor.2008.06.027)
Goedertier, Stijn, Martens, David, Vanthienen, Jan and Baesens, Bart (2009) Robust process discovery with artificial negative events. Journal of Machine Learning Research, 10, 1305-1340.
Baesens, B., Mues, C., Martens, D. and Vanthienen, J. (2009) 50 Years of data mining and OR: upcoming trends and challenges. Journal of the Operational Research Society, 60, (Supplement 1), S16-S23. (doi:10.1057/jors.2008.171)
Glady, Nicolas, Baesens, Bart and Croux, Christophe (2009) A modified Pareto/NBD approach for predicting customer lifetime value. Expert Systems with Applications, 36, (2, Part 1), 2062-2071. (doi:10.1016/j.eswa.2007.12.049)
Cumps, Bjorn, Martens, David, De Backer, Manu, Haesen, Raf, Viaenea, Stijn, Dedene, Guido, Baesens, Bart and Snoeck, Monique (2009) Inferring comprehensible business/ICT alignment rules. Information and Management, 46, (2), 116-124. (doi:10.1016/j.im.2008.05.005)
Setiono, R., Baesens, B. and Mues, C. (2009) A note on knowledge discovery using neural networks and its application to credit card screening. European Journal of Operational Research, 192, (1), 326-332. (doi:10.1016/j.ejor.2007.09.022)
Martens, David, Bruynseels, Liesbeth, Baesens, Bart, Willekens, Marleen and Vanthienen, Jan (2008) Predicting going concern opinion with data mining. Decision Support Systems, 45, (4), 765-777. (doi:10.1016/j.dss.2008.01.003)
Martens, D., Baesens, B. and Van Gestel, T. (2008) Decompositional rule extraction from support vector machines by active learning. IEEE Transactions on Knowledge and Data Engineering, 21, (2), 178-191. (doi:10.1109/TKDE.2008.131)
Lessmann, Stefan, Baesens, Bart, Mues, Christophe and Pietsch, Swantje (2008) Benchmarking classification models for software defect prediction: a proposed framework and novel findings. IEEE Transactions on Software Engineering, 34, (4), 485-496. (doi:10.1109/TSE.2008.35)
Vandecruys, Olivier, Martens, David, Baesens, Bart, Mues, Christophe, De Backer, Manu and Haesen, Raf (2008) Mining software repositories for comprehensible software fault prediction models. [in special issue: Software Process and Product Measurement] Journal of Systems and Software, 81, (5), 823-839. (doi:10.1016/j.jss.2007.07.034)
Huysmans, Johan, Setiono, Rudy, Baesens, Bart and Vanthienen, Jan (2008) Minerva: Sequential covering for rule extraction. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 38, (2), 299-309. (doi:10.1109/TSMCB.2007.912079)
Setiono, R., Baesens, B. and Mues, C. (2008) Recursive neural network rule extraction for data with mixed attributes. IEEE Transactions on Neural Networks, 19, (2), 299-307. (doi:10.1109/TNN.2007.908641)
Martens, David, Baesens, Bart, Van Gestel, Tony and Vanthienen, Jan (2007) Comprehensible credit scoring models using rule extraction from support vector machines. European Journal of Operational Research, 183, (3), 1466-1476. (doi:10.1016/j.ejor.2006.04.051)
Huysmans, J., Baesens, B. and Vanthienen, J. (2007) A new approach for measuring rule set consistency. Data and Knowledge Engineering, 63, (1), 167-182. (doi:10.1016/j.datak.2007.01.001)
Van Gestel, T., Martens, D., Baesens, B., Feremans, D., Huysmans, J. and Vanthienen, J. (2007) Forecasting and analysing insurance companies' ratings. International Journal of Forecasting, 23, (3), 513-529. (doi:10.1016/j.ijforecast.2007.05.001)
Hoffmann, F., Baesens, B., Mues, C. and Vanthienen, J. (2007) Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. European Journal of Operational Research, 177, (1), 540-555. (doi:10.1016/j.ejor.2005.09.044)
Martens, D., De Backer, M., Haesen, R., Vanthienen, J., Snoeck, M. and Baesens, B. (2007) Classification with Ant Colony Optimization. IEEE Transactions on Evolutionary Computation, 11, (5), 651-665. (doi:10.1109/TEVC.2006.890229)
Van Gestel, T., Martens, D., Baesens, B., Feremans, D., Huysmans, J. and Vanthienen, J. (2007) Forecasting and analyzing insurance companies' ratings. International Journal of Forecasting, 23, (3), 513-529. (doi:10.1016/j.ijforecast.2007.05.001)
Van Gestel, T., Espinoza, M., Baesens, B., Suykens, J.A.K., Brasseur, C. and De Moor, B. (2006) A Bayesian nonlinear support vector machine error correction model. Journal of Forecasting, 25, (2), 77-100. (doi:10.1002/for.975)
Baesens, Bart, Mues, Christophe, Van Gestel, Tony and Vanthienen, Jan (2006) Preface. Special issue on intelligent information systems for financial engineering. Expert Systems with Applications, 30, (3), 413-414. (doi:10.1016/j.eswa.2005.10.001)
Van Gestel, Tony, Baesens, Bart, Suykens, Johan A.K., Van den Poel, Dirk, Baestaens, Dirk-Emma and Willekens, Marleen (2006) Bayesian kernel based classification for financial distress detection. European Journal of Operational Research, 172, (3), 979-1003. (doi:10.1016/j.ejor.2004.11.009)
Van Gestel, Tony, Baesens, Bart, Van Dijcke, Peter, Garcia, Joao, Suykens, Johan A.K. and Vanthienen, Jan (2006) A process model to develop an internal rating system: sovereign credit ratings. Decision Support Systems(doi:10.1016/j.dss.2005.10.001)
Egmont-Petersen, M., Feelders, A. and Baesens, B. (2005) Confidence intervals for probabilistic network classifiers. Computational Statistics and Data Analysis, 49, (4), 998-1019. (doi:10.1016/j.csda.2004.06.018)
Huysmans, Johan, Baesens, Bart and Vanthienen, Jan (2005) A comprehensible SOM-based scoring system. Lecture Notes in Computer Science, 3587, 80-89.
Baesens, Bart, Van Gestel, Tony, Stepanova, Maria, Van den Poel, D. and Vanthienen, Jan (2005) Neural Network Survival Analysis for Personal Loan Data. Journal of the Operational Research Society, 59, (9), 1089-1098. (doi:10.1057/palgrave.jors.2601990)
Somol, Petr, Baesens, Bart, Pudil, Pavel and Vanthienen, Jan (2005) Filter- versus wrapper-based feature selection for credit scoring. International Journal of Intelligent Systems, 20, (10), 985-999. (doi:10.1002/int.20103)
Van Gestel, T., Baesens, B., Van Dijcke, P., Suykens, J., Garcia, J. and Alderweireld, T. (2005) Linear and nonlinear credit scoring by combining logistic regression and support vector machines. Journal of Credit Risk, 1, (4)
Baesens, Bart, Verstraeten, Geert, Van den Poel, Dirk, Egmont-Petersen, Michael, Van Kenhove, Patrick and Vanthienen, Jan (2004) Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers. European Journal of Operational Research, 156, (2), 508-523. (doi:10.1016/S0377-2217(03)00043-2)
Van Gestel,, Tony, Suykens, Johan A.K., Baesens, Bart, Viaene, Stijn, Vanthienen, Jan, Dedene, Guido, De Moor,, Bart and Vande, Joos (2004) Benchmarking least squares support vector machine classifiers. Machine Learning, 54, (1), 5-32. (doi:10.1023/B:MACH.0000008082.80494.e0)
Mues, Christophe, Baesens, Bart, Files, Craig M. and Vanthienen, Jan (2004) Decision diagrams in machine learning: an empirical study on real-life credit-risk data. Expert Systems with Applications, 27, (2), 257-264. (doi:10.1016/j.eswa.2004.02.001)
Baesens, Bart, Mues, C and Vanthienen, Jan (2003) Knowledge discovery in data: van academische denkoefening naar bedrijfsrelevante praktijk. Informatie: Maandblad voor de informatievoorziening, 45, (1), 30-35.
Van Gestel, Tony, Baesens, Bart, Garcia, Joao and Van Dijcke, Peter (2003) A support vector machine approach to credit scoring. Bank en Financiewezen, (2), 73-82.
Baesens, B., Van Gestel, T., Viaene, S., Stepanova, M., Suykens, J. and Vanthienen, J. (2003) Benchmarking state-of-the-art classification algorithms for credit scoring. Journal of the Operational Research Society, 54, (6), 627-635. (doi:10.1057/palgrave.jors.2601545)
Baesens, Bart, Setiono, Rudy, Mues, Christophe and Vanthienen, Jan (2003) Using neural network rule extraction and decision tables for credit-risk evaluation. Management Science, 49, (3), 312-329. (doi:10.1287/mnsc.49.3.312.12739)
Hoffmann, F., Baesens, B., Martens, J., Put, F. and Vanthienen, J. (2002) Comparing a Genetic Fuzzy and a Neurofuzzy Classifier for Credit Scoring. International Journal of Intelligent Systems, 17, (11), 1067-1083. (doi:10.1002/int.10052)
Viaene, Stijn, Derrig, Richard A., Baesens, Bart and Dedene, Guido (2002) A comparison of state-of-the-art classification techniques for expert automobile insurance fraud detection. Journal of Risk and Insurance, 69, (3), 373-421.
Baesens, Bart, Viaene, Stijn, Van den Poel, Dirk, Vanthienen, Jan and Dedene, Guido (2002) Bayesian neural network learning for repeat purchase modelling in direct marketing. European Journal of Operational Research, 138, (1), 191-211. (doi:10.1016/S0377-2217(01)00129-1)
Viaene, S., Baesens, B., Van Gestel, T., Suykens, J.A.K., Van den Poel, D., Vanthienen, J., De Moor, B. and Dedene, G. (2001) Knowledge discovery in a direct marketing case using least square support vector machines. International Journal of Intelligent Systems, 16, (9), 1023-1036. (doi:10.1002/int.1047)
Viaene, Stijn, Baesens, Bart, Van den Poel, Dirk, Dedene, Guido and Vanthienen, Jan (2001) Wrapped input selection using multilayer perceptrons for repeat-purchase modeling in direct marketing. International Journal of Intelligent Systems in Accounting, Finance, and Management, 10, (2), 115-126. (doi:10.1002/isaf.195)

Book

Van Gestel, Tony and Baesens, Bart (2008) Credit Risk Management: basic concepts: financial risk components, rating analysis, models, economic and regulatory capital, Oxford University Press

Book Section

Mues, C., Baesens, B., Huysmans, J. and Vanthienen, J. (2006) Comprehensible credit-scoring knowledge visualization using decision tables and diagrams. In, Enterprise Information Systems VI. The Netherlands, Kluwer.
Huysmans, J., Martens, D., Baesens, B., Vanthienen, J. and Van Gestel, T. (2006) Country corruption analysis with self organizing maps and support vector machines. In, Chen, Hsinchun, Wang, Fei-Yue, Yang, Christopher C., Zeng, Daniel Dajun, Chau, Michael and Chang, Kuiyu (eds.) Proceedings of the Tenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006), Workshop on Intelligence and Security Informatics (WISI), Lecture Notes in Computer Science (LNCS). Tenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006) Singapore, Springer-Verlag, 103-114. (doi:10.1007/11734628_13)
Martens, David, De Backer, Manu, Haesen, Raf, Baesens, Bart, Mues, Christophe and Vanthienen, Jan (2006) Ant-based approach to the knowledge fusion problem. In, Ant Colony Optimization and Swarm Intelligence. Berlin, Germany, Springer, 84-95. (Lecture Notes in Computer Science, 4150/2006). (doi:10.1007/11839088_8)
Huysmans, J., Baesens, B. and Vanthienen, J. (2006) ITER: an algorithm for Predictive Regression Rule extraction. In, Tjoa, M. and Trujillo, J. (eds.) Data Warehousing and Knowledge Discovery: 8th International Conference, Dawak 2006, Krakow, Poland, September 4-8, 2006, Proceedings. Data Warehousing and Knowledge Discovery: 8th International Conference Krakow, Poland, Springer, 270-279. (Lecture Notes in Computer Science 4081).
Martens, David, De Backer, Manu, Haesen, Raf, Baesens, Bart and Holvoet, Tom (2006) Ants constructing rule-based classifiers. In, Abraham, Ajith, Grosan, Crina and Ramos, VVitorino (eds.) Swarm Intelligence in Data Mining/Stigmergic Optimization. Berlin, Germany, Springer, 21-41. (Studies in Computational Intelligence 34).
Mues, Christophe, Baesens, Bart, Setiono, Rudy and Vanthienen, Jan (2005) From knowledge discovery to implementation: a business intelligence approach using neural network rule extraction and decision tables. In, Althoff, Klaus-Dieter, Dengel, Andreas, Bergmann, Ralph, Nick, Markus and Roth-Berghofer, Thomas (eds.) Professional Knowledge Management: Third Biennial Conference, WM 2005, Kaiserslautern, Germany, April 10-13, 2005, Revised Selected Papers. Professional Knowledge Management: Third Biennial Conference, WM 2005 , Springer, 483-495. (Lecture Notes in Computer Science 3782). (doi:10.1007/11590019_55)
De Backer, M., Haesen, R., Martens, D. and Baesens, B. (2005) A stigmergy based approach to data mining. In, Zhang, Shichao and Jarvis, Ray (eds.) AI 2005: Advances in Artificial Intelligence: 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Proceedings. AI 2005: Advances in Artificial Intelligence: 18th Australian Joint Conference on Artificial Intelligence Sydney, Australia, Springer-Verlag, 975-978. (Lecture Notes in Artificial Intelligence 3809).
Mues, Christophe, Baesens, Bart, Files, Craig M. and Vanthienen, Jan (2004) Decision diagrams in machine learning: an empirical study on real-life credit risk data. In, Diagrammatic Representation and Inference: Third International Conference, Diagrams 2004, Cambridge, UK, March 22-24, 2004. Proceedings. Diagrammatic Representation and Inference: Third International Conference, Diagrams 2004 Berlin / Heidelberg, Germany, Springer, 395-397. (Lecture Notes in Computer Science 2980).
Baesens, B., Mues, C., Setiono, R., De Backer, M. and Vanthienen, J. (2003) Building intelligent credit scoring systems using decision tables. In, Camp, O., Filipe, J.B., Hammoudi, S. and Piattini, M.G. (eds.) Enterprise Information Systems V. 5th International Conference on Enterprise Information Systems (ICEIS'2003) , Springer.
Viaene, S., Baesens, B., Dedene, G., Vanthienen, J. and Van den Poel, D. (2003) Proof running two state-of-the-art pattern recognition techniques in the field of direct marketing. In, Piattini, M., Filipe, J. and Braz, J. (eds.) Enterprise Information Systems IV. Guildford, UK, Springer.
Hoffman, F., Baesens, B., Martens, J., Put, F. and Vanthienen, J. (2002) Comparing a genetic fuzzy and a neurofuzzy classifier for credit scoring. In, Da Ruan, Pierre D'hont and Kerre, Etienne E. (eds.) Computational Intelligent Systems for Applied Research. Proceedings of the 5th International FLINS Conference. Proceedings of the 5th International FLINS Conference Gent, Belgium, World Scientific, 355-362. (FLINS Conferences).
Baesens, B., Setiono, R., Mues, C., Viaene, S. and Vanthienen, J. (2001) Building intelligent credit-risk evaluation systems using neural network rule extraction and decision tables. In, Vandenbulcke, J. and Snoeck, M. (eds.) New Directions in Software Engineering. Leuven, Belgium, Leuven University Press, 121-133.
Viaene, S., Baesens, B., Van den Poel, D., Vanthienen, J. and Dedene, G. (2001) The Bayesian evidence framework for database marketing modelling using both RFM and Non-RFM predictors. In, Callaos, Nagib, Nunes de Silva, Ivan and Molero, Jorge (eds.) Proceedings of the Fifth World Multi-Conference on Systemics, Cybernetics and Informatics (SCI'2001). Fifth World Multi-Conference on Systemics, Cybernetics and Informatics (SCI'2001) Orlando, Florida, International Institute of Informatics and Systemics.
Baesens, B., Setiono, R., Mues, C., Viaene, S. and Vanthienen, J. (2001) Building credit-risk evaluation expert systems using neural network rule extraction and decision tables. In, Storey, V. C., Sarkar, S. and DeGross, J. I. (eds.) Proceedings of the International Conference on Information Systems, ICIS 2001. 22nd International Conference on Information Systems - ICIS2001 New Orleans, USA, Association for Information Systems, 159-168.
Baesens, B., Viaene, S., Van Gestel, T., Suykens, J.A.K., Dedene, G., De Moor, B. and Vanthienen, J. (2000) An empirical assessment of kernel type performance for least squares support vector machine classifiers. In, Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies. KES 2000: The Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies Brighton, United Kingdom, The Institute of Electrical and Electronics Engineers, IEEE, 313-316.
Viaene, S., Baesens, B., Van den Poel, D., Dedene, G. and Vanthienen, J. (2000) Wrapped feature selection for binary classification Bayesian regularisation neural networks: a database marketing application. In, Data Mining II. The Second International Conference on Data Mining Cambridge, United Kingdom, WIT press. (Management Information Systems, 2).
Viaene, S., Baesens, B., Van Gestel, T., Suykens, J.A.K., Van den Poel, D., Vanthienen, J., De Moor, B. and Dedene, G. (2000) Knowledge discovery using least squares support vector machine classifiers: a direct marketing case. In, Principles of Data Mining and Knowledge Discovery: Proceedings of the Fourth European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2000). The Fourth European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2000) Berlin/ Heidelberg, Springer, 657-664. (Lecture Notes in Computer Science, 1910).

Conference or Workshop Item

Dejaeger, K., Verbeke, W., Huysmans, J., Mues, C., Vanthienen, J. and Baesens, B. (2010) Rule based predictive models, decision table and tree: an empirical evaluation on comprehensibility. In, 24th European Conference on Operational Research, Lisbon, PT, 10 - 13 Jul 2010.
Van Laere, E. and Baesens, B. (2010) The development of a simple and intuitive rating system under solvency II. In, Midwest Finance Association 2010 Conference, Las Vegas , USA, 24 - 27 Feb 2010.
Loterman, G., Brown, I., Martens, D., Mues, C. and Baesens, B. (2009) Benchmarking state-of-the-art regression algorithms for loss given default modelling. In, 11th Credit Scoring and Credit Control Conference (CSCCXI), Edinburgh, UK,
Lima, E., Mues, C. and Baesens, B. (2008) Integrating domain knowledge into data mining: A customer focused analysis. In, OR50 Annual Conference, York, UK, 09 - 11 Sep 2008.
Glady, N., Baesens, B. and Croux, C. (2007) A modified pareto/NBD approach for predicting customer lifetime value. In, 39e Journees de Statistiques (JDS 2007), Angers, France, 11 - 15 Jun 2007.
Goedertier, S., Martens, D., Baesens, B., Haesen, R. and Vanthienen, J. (2007) Process mining as first-order classification learning on logs with negative events. In, 3rd Workshop on Business Process Intelligence (BPI 07), Brisbane, Australia, 25 - 27 Sep 2007. Springer, 42-53.
Mues, C., Huysmans, J., Baesens, B. and Vanthienen, J. (2007) An empirical investigation into the interpretability of data mining models based on decision trees, tables and rules. In, 22nd European Conference on Operational Research (EURO XXII), Prague, Czech Republic, 08 - 11 Jul 2007. Prague, Czech Republic,
Lima, E., Baesens, B. and Mues, C. (2007) Customer lifetime value and churn management: a survey and data mining approach. In, 22nd European Conference on Operational Research EURO XXII, Prague, Czech Republic, 08 - 11 Jul 2007. Prague, Czech Republic,
Glady, N., Baesens, B. and Croux, C. (2007) A modified Pareto/NBD approach for predicting customer lifetime value. In, Statistics for Data Mining, Learning and Knowledge (IASC 07), Aveiro, PT, 30 Aug - 01 Sep 2007. Aveiro, PT, International Statistical Institute.
Martens, David, Vanthienen, Jan, Baesens, Bart and Mues, Christophe (2006) Measuring the consistency with prior knowledge of classification models. In, Operational Research Conference 48, 11 - 13 Sep 2006. Bath, GB,
Mues, C., Martens, D., Baesens, B., Seow, H.-V. and Shahi, R. (2006) OR Techniques and Tools for Validating Basel II Models. In, 21st European Conference on Operational Research - EURO XXI - OR for Better Management of Sustainable Development, Reykjavik, Iceland, 02 - 05 Jul 2006.
Setiono, R., Baesens, B. and Mues, C. (2006) Risk Management and Regulatory Compliance: a Data Mining Framework Based on Neural Network Rule Extraction. In, ICIS 2006 27th International Conference on Information Systems, Milwaukee, Wisconsin, USA, 10 - 13 Dec 2006.
Baesens, Bart (2006) Developing interpretable data mining decision models for credit risk. In, Workshop on Feature Selection in Data Mining, Oxford, UK, 29 Jun 2006. Oxford, UK, Saïd Business School.
Mues, C., Baesens, B., Martens, D., Seow, H.-V. and Shahi, R. (2006) Knowledge Discovery and Implementation using Neural Network Rule Extraction and Decision Tables. In, 21st European Conference on Operational Research - EURO XXI - OR for Better Management of Sustainable Development, Reykjavik, Iceland, 02 - 05 Jul 2006.
Martens, D., De Backer, M., Haesen, R., Baesens, B., Mues, C. and Vanthienen, J. (2006) Ant-based approach to the knowledge fusion problem. In, 5th International Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS2006), Brussels, Belgium, 04 - 07 Sep 2006.
Martens, D., Baesens, B., Mues, C., Seow, H.-V., Shahi, R. and Vanthienen, J. (2006) Building acceptable classifiers with ants. In, 21st European Conference on Operational Research: EURO XXI, Reykjavik, Iceland, 02 - 05 Jul 2006.
Baesens, Bart (2006) New trends and applications in data mining. In, 14th Annual Meeting of the Belgian Statistical Society, Houffalize, Belgium, 11 - 13 Oct 2006. Houffalize, Belgium, Belgian Statistical Society.
Mues, Christophe, Baesens, Bart and Vanthienen, Jan (2005) From knowledge discovery to implementation: developing business intelligence systems using decision tables. In, 3rd Conference on Professional Knowledge Management (WM2005), Kaiserslautern, Germany, 10 - 13 Apr 2005.
Meeus, N., Huysmans, J., Baesens, B., Vanthienen, J. and Vandebroek, M. (2005) The use of knowledge discovery techniques for behavioural ccoring. In, Sixth International Conference on Data Mining and their Business Applications, Skiathos, Greece,
Baesens, B. (2005) New applications and techniques in data mining. In, OR47: Annual Conference of The Operational Research Society, Chester, UK, 13 - 15 Sep 2005.
Baesens, B. (2005) Validating Basel II models. In, Infoline Workshop on Validating & Stress Testing Retail Portfolios, London, UK, 12 Sep 2005.
Baesens, B. (2005) Data mining on the Web. In, CORMSIS Seminar, Southampton, UK, 2005. Southampton, UK, University of Southampton.
Baesens, B. (2005) New trends and applications in data mining. In, CORMSIS Seminar, Southampton, UK, 2005. Southampton, UK, University of Southampton.
Huysmans, J., Baesens, B. and Vanthienen, J. (2004) The influence of caching on web usage mining. In, Fifth International Conference on Data Mining, Text Mining, and their Business Applications, Malaga, Spain, 15 - 17 Sep 2004. , 355-362.
Mues, C., Baesens, B., Huysmans, J. and Vanthienen, J. (2004) Comprehensible Credit-Scoring Knowledge Visualization using Decision Tables and Diagrams. In, 6th International Conference on Enterprise Information Systems (ICEIS2004), Universidade Portucalense, Porto, Portugal, 14 - 17 Apr 2004.
Van de Walle, P., Callewaert, B., Huenaerts, C., Molenaers, G., Meeusen, C., Nijs, J. and Baesens, B. (2004) A study on maturation of oxygen rate and cost during walking and the influence of net non-dimensional normalization using sitting and standing data. In, Proceedings of the Thirteenth Annual ESMAC Meeting, Warsaw, Poland, 23 - 25 Sep 2004. Warsaw, Poland, , 508-523.
Huysmans, J., Baesens, B., Mues, C. and Vanthienen, J. (2004) Web Usage Mining with Time Constrained Association Rules. In, 6th International Conference on Enterprise Information Systems (ICEIS2004), Universidade Portucalense, Porto, Portugal, 14 - 17 Apr 2004. Porto, Portugal,
Huysmans, J., Baesens, B. and Vanthienen, J. (2004) Web usage mining: a practical study. In, Twelfth Conference on Knowledge Acquisition and Management (KAM2004), Kule, Poland,
Egmont-Petersen, M., Baesens, B. and Feelders, A. (2003) Using Bayesian networks for estimating the risk of default in credit scoring. In, Proceedings of the International Workshop on Computational Management Science, Economics, Finance and Engineering, 28-30 March, Limassol, Cyprus, 2003
Baesens, Bart, Mues, Christophe, Setiono, Rudy, De Backer, Manu and Vanthienen, Jan (2003) Building Intelligent Credit Scoring Systems using Decision Tables. In, 5th International Conference on Enterprise Information Systems (ICEIS2003), Angers, France, 23 - 26 Apr 2003.
Van Gestel, Tony, Baesens, Bart, Suykens, Johan A.K., Espinoza, Marcelo, Baestaens, Dirk-Emma, Vanthienen, Jan and De Moor, Bart (2003) Bankruptcy prediction with least squares support vector machines classifiers. At IEEE International Conference on Computational Intelligence for Financial Engineering (CIFer2003), Hong Kong, 20 - 23 Mar 2003. Hong Kong,
Baesens, Bart, Van Gestel, Tony, Stepanova, Maria and Vanthienen, Jan (2003) Neural network survival analysis for personal loan data. In, Eighth Conference on Credit Scoring and Credit Control (CSCCVIII'2003), Edinburgh, UK, 2003.
Baesens, B., Egmont-Petersen, M., Castelo, R. and Vanthienen, J. (2002) Learning bayesian network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. In, The Sixteenth International Conference on Pattern Recognition (ICPR'2002), Quebec City, Canada, 11 - 15 Aug 2002. Quebec City, Canada, IEEE Computer Society.
Verstraeten, G., Baesens, B., Van den Poel, D., Egmont-Petersen, M., Van Kenhove, P. and Vanthienen, J. (2002) Targeting long-life customers: towards a segmented CRM approach. In, Thirty-First European Marketing Academy Conference (EMAC'2002), Braga, Portugal,
Buckinx, W., Baesens, B., Van den Poel, D., Van Kenhove, P. and Vanthienen, J. (2002) Using machine learning techniques to predict defection of top clients. In, Third International Conference on Data Mining Methods and Databases for Engineering, Finance and Other Fields, Bologna, Italy, 25 - 27 Sep 2002.
Baesens, B., Viaene, S. and Vanthienen, J. (2001) A comparative study of state of the art classification algorithms for credit scoring. In, Seventh Conference on Credit Scoring and Credit Control (CSCCVII'2001), Edinburgh, UK, 2001.
Baesens, B., Setiono, R., De Lille, V., Viaene, S. and Vanthienen, J. (2001) Neural network rule extraction for credit scoring. In, Pacific Asian Conference on Intelligent Systems (PAIS'2001), Seoul, Korea,
Viaene, S., Derrig, D., Baesens, B. and Dedene, G. (2001) A comparison of state-of-the-art classification techniques for expert automobile insurance fraud detection. In, the Fifth International Congress on Insurance: Mathematics and Economics (IME'2001), Pennsylvania, USA,
Baesens, B., Viaene, S. and Vanthienen, J. (2000) Post-processing of association rules. In, The Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2000), Boston, Massachusetts, 20 - 23 Aug 2000.
Baesens, B., Viaene, S., Vanthienen, J. and Dedene, G. (2000) Wrapped feature selection by means of guided neural network optimisation. In, The Fifteenth International Conference on Pattern Recognition (ICPR'2000), Barcelona, Spain, Sep 2000.
Baesens, B., Viaene, S. and Vanthienen, J. (2000) Post-processing of association rules. In, Proceedings of the VIII Seminar on Knowledge Acquistion in Databases, Turawa, Poland, May 2000. , 159-173.
Viaene, S., Baesens, B., Dedene, G., Vanthienen, J. and Vandenbulcke, J. (2000) Sensitivity based pruning of input variables by means of weight cascaded retraining. In, The Fourth International Conference and Exhibition on the Practical Application of Knowledge Discovery and Data Mining (PADD'2000), Manchester, United Kingdom, 11 - 13 Apr 2000.
Baesens, B., Viaene, S., Van Gestel, T., Suykens, J.A.K., Dedene, G., De Moor, B. and Vanthienen, J. (2000) An initial approach to wrapped input selection using least squares support vector machine classifiers: some empirical results. In, The Twelfth Belgium-Netherlands Conference on Artificial Intelligence (BNAIC'00), Kaatsheuvel, The Netherlands, 01 - 02 Nov 2000.
 

Research Interests

  • Data mining
  • Credit scoring
  • Classification
  • Machine learning
  • Statistics

Primary research group:  Centre for Risk Research

Affiliate research group:  CORMSIS: Centre for Operational Research, Management Science and Information Systems

Dr Bart Baesens
Southampton Management School
University of Southampton
Southampton
SO17 1BJ, UK.

Phone +44 (0)23 8059 8712
Fax +44 (0)23 8059 3844
E-mail B.M.M.Baesens@soton.ac.uk