Jan Vanthienen

Filip Caron, Jan Vanthienen, Bart Baesens: A comprehensive investigation of the applicability of process mining techniques for enterprise risk management. Computers in Industry 64(4): 464-475 (2013)

Filip Caron, Jan Vanthienen, Bart Baesens: Comprehensive rule-based compliance checking and risk management with process mining. Decision Support Systems 54(3): 1357-1369 (2013)

Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens: A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs. Inf. Syst. 37(7): 654-676 (2012)

Filip Caron, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens: On the Distinction between Truthful, Invisible, False and Unobserved Events An Event Existence Classification Framework and the Impact on Business Process Analytics Related Research Areas. AMCIS 2012

Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Bart Baesens, Jan Vanthienen: Improved Artificial Negative Event Generation to Enhance Process Event Logs. CAiSE 2012: 254-269

Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens: Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes. IEEE Congress on Evolutionary Computation 2012: 1-8

Filip Caron, Jan Vanthienen: Moving Across Paradigms between the Process Design and Enactment Phase in Enterprise Information Systems. ICEIS (3) 2012: 218-223

Yan Tang Demey, Jan Vanthienen: SeDeS 2012 PC Co-chairs Message. OTM Workshops 2012: 484

Feng Wu, Laura Priscilla, Mingji Gao, Filip Caron, Willem De Roover, Jan Vanthienen: Modeling Decision Structures and Dependencies. OTM Workshops 2012: 525-533

Jochen De Weerdt, Filip Caron, Jan Vanthienen, Bart Baesens: Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining. PAKDD Workshops 2012: 22-35

Stijn Goedertier, Jochen De Weerdt, David Martens, Jan Vanthienen, Bart Baesens: Process discovery in event logs: An application in the telecom industry. Appl. Soft Comput. 11(2): 1697-1710 (2011)

Johan Huysmans, Karel Dejaeger, Christophe Mues, Jan Vanthienen, Bart Baesens: An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models. Decision Support Systems 51(1): 141-154 (2011)

Ram D. Gopal, James R. Marsden, Jan Vanthienen: Information mining - Reflections on recent advancements and the road ahead in data, text, and media mining. Decision Support Systems 51(4): 727-731 (2011)

David Martens, Jan Vanthienen, Wouter Verbeke, Bart Baesens: Performance of classification models from a user perspective. Decision Support Systems 51(4): 782-793 (2011)

Filip Caron, Jan Vanthienen, Jochen De Weerdt, Bart Baesens: Advanced Care-Flow Mining and Analysis. Business Process Management Workshops (1) 2011: 167-168

Wil M. P. van der Aalst, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, R. P. Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos C. A. M. Buijs, Andrea Burattin, Josep Carmona, Malú Castellanos, Jan Claes, Jonathan Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano de Leoni, Pavlos Delias, Boudewijn F. van Dongen, Marlon Dumas, Schahram Dustdar, Dirk Fahland, Diogo R. Ferreira, Walid Gaaloul, Frank van Geffen, Sukriti Goel, Christian W. Günther, Antonella Guzzo, Paul Harmon, Arthur H. M. ter Hofstede, John Hoogland, Jon Espen Ingvaldsen, Koki Kato, Rudolf Kuhn, Akhil Kumar, Marcello La Rosa, Fabrizio Maria Maggi, Donato Malerba, R. S. Mans, Alberto Manuel, Martin McCreesh, Paola Mello, Jan Mendling, Marco Montali, Hamid R. Motahari Nezhad, Michael zur Muehlen, Jorge Munoz-Gama, Luigi Pontieri, Joel Ribeiro, Anne Rozinat, Hugo Seguel Pérez, Ricardo Seguel Pérez, Marcos Sepúlveda, Jim Sinur, Pnina Soffer, Minseok Song, Alessandro Sperduti, Giovanni Stilo, Casper Stoel, Keith D. Swenson, Maurizio Talamo, Wei Tan, Chris Turner, Jan Vanthienen, George Varvaressos, Eric Verbeek, Marc Verdonk, Roberto Vigo, Jianmin Wang, Barbara Weber, Matthias Weidlich, Ton Weijters, Lijie Wen, Michael Westergaard, Moe Thandar Wynn: Process Mining Manifesto. Business Process Management Workshops (1) 2011: 169-194

Willem De Roover, Filip Caron, Jan Vanthienen: A Prototype Tool for the Event-Driven Enforcement of SBVR Business Rules. Business Process Management Workshops (1) 2011: 446-457

Filip Caron, Jan Vanthienen: An Exploratory Approach to Process Lifecycle Transitions from a Paradigm-Based Perspective. BMMDS/EMMSAD 2011: 178-185

Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens: A robust F-measure for evaluating discovered process models. CIDM 2011: 148-155

Ernesto Damiani, Elizabeth Chang, Patrizia Grifoni, Fernando Ferri, Irina Kondratova, Arianna D'Ulizia, Yan Tang, Jan Vanthienen: SWWS 2011, MONET 2011 and SeDeS 2011 PC Co-chairs' Message. OTM Workshops 2011: 380-381

Willem De Roover, Jan Vanthienen: On the Relation between Decision Structures, Tables and Processes. OTM Workshops 2011: 591-598

Jan Vanthienen: Rules, Tables and Decisions: A Family History Tale. RuleML America 2011: 10

David Martens, Tony Van Gestel, Manu De Backer, Raf Haesen, Jan Vanthienen, Bart Baesens: Credit rating prediction using Ant Colony Optimization. JORS 61(4): 561-573 (2010)

Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens: A Critical Evaluation Study of Model-Log Metrics in Process Discovery. Business Process Management Workshops 2010: 158-169

Willem De Roover, Jan Vanthienen: Unified Patterns to Transform Business Rules into an Event Coordination Mechanism. Business Process Management Workshops 2010: 730-742

Willem De Roover, Jan Vanthienen: A Transformation from SBVR Business Rules into Event Coordinated Rules by Means of SBVR Patterns. ServiceWave Workshops 2010: 172-179

Stijn Goedertier, David Martens, Jan Vanthienen, Bart Baesens: Robust Process Discovery with Artificial Negative Events. Journal of Machine Learning Research 10: 1305-1340 (2009)

Bart Baesens, Christophe Mues, David Martens, Jan Vanthienen: 50 years of data mining and OR: upcoming trends and challenges. JORS 60(S1) (2009)

David Martens, Liesbeth Bruynseels, Bart Baesens, Marleen Willekens, Jan Vanthienen: Predicting going concern opinion with data mining. Decision Support Systems 45(4): 765-777 (2008)

Johan Huysmans, Rudy Setiono, Bart Baesens, Jan Vanthienen: Minerva: Sequential Covering for Rule Extraction. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(2): 299-309 (2008)

Yan Tang, Robert Meersman, Jan Vanthienen: Semantic Decision Tables: Self-organizing and Reorganizable Decision Tables. DEXA 2008: 434-449

David Martens, Johan Huysmans, Rudy Setiono, Jan Vanthienen, Bart Baesens: Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring. Rule Extraction from Support Vector Machines 2008: 33-63

Johan Huysmans, Bart Baesens, Jan Vanthienen: A Data Miner's Approach to Country Corruption Analysis. Intelligence and Security Informatics 2008: 227-247

Johan Huysmans, Bart Baesens, Jan Vanthienen: A new approach for measuring rule set consistency. Data Knowl. Eng. 63(1): 167-182 (2007)

F. Hoffmann, Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen: Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. European Journal of Operational Research 177(1): 540-555 (2007)

David Martens, Bart Baesens, Tony Van Gestel, Jan Vanthienen: Comprehensible credit scoring models using rule extraction from support vector machines. European Journal of Operational Research 183(3): 1466-1476 (2007)

David Martens, Manu De Backer, Raf Haesen, Jan Vanthienen, Monique Snoeck, Bart Baesens: Classification With Ant Colony Optimization. IEEE Trans. Evolutionary Computation 11(5): 651-665 (2007)

Stijn Goedertier, David Martens, Bart Baesens, Raf Haesen, Jan Vanthienen: Process Mining as First-Order Classification Learning on Logs with Negative Events. Business Process Management Workshops 2007: 42-53

Stijn Goedertier, Jan Vanthienen: A Vocabulary and Execution Model for Declarative Service Orchestration. Business Process Management Workshops 2007: 496-501

Stijn Goedertier, Jan Vanthienen: Declarative Process Modeling with Business Vocabulary and Business Rules. OTM Workshops (1) 2007: 603-612

Stijn Goedertier, Christophe Mues, Jan Vanthienen: Specifying Process-Aware Access Control Rules in SBVR. RuleML 2007: 39-52

Tony Van Gestel, Bart Baesens, Peter Van Dijcke, Joao Garcia, Johan A. K. Suykens, Jan Vanthienen: A process model to develop an internal rating system: Sovereign credit ratings. Decision Support Systems 42(2): 1131-1151 (2006)

Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen: Special issue on intelligent information systems for financial engineering. Expert Syst. Appl. 30(3): 413-414 (2006)

Johan Huysmans, Bart Baesens, Jan Vanthienen, Tony Van Gestel: Failure prediction with self organizing maps. Expert Syst. Appl. 30(3): 479-487 (2006)

Birger Weynants, Jan Vanthienen, Joke Tisaun: Knowledge Integration in Information Systems Education Through an (Inter)active Platform of Analysis and Modelling Case Studies. ADVIS 2006: 294-303

David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Christophe Mues, Jan Vanthienen: Ant-Based Approach to the Knowledge Fusion Problem. ANTS Workshop 2006: 84-95

Jan De Beer, Nishant Kumar, Marie-Francine Moens, Jan Vanthienen: Assessing the State of the Art of Commercial Tools for Unstructured Information Exploitation. BIS 2006: 315-328

Stijn Goedertier, Jan Vanthienen: Business Rules for Compliant Business Process Models. BIS 2006: 558-572

Stijn Goedertier, Jan Vanthienen: Designing Compliant Business Processes with Obligations and Permissions. Business Process Management Workshops 2006: 5-14

Stijn Goedertier, Jan Vanthienen: Compliant and Flexible Business Processes with Business Rules. BPMDS 2006

Jan Vanthienen, Christophe Mues, Stijn Goedertier: Experiences with Modeling and Verification of Regulations. ReMo2V 2006

Johan Huysmans, Bart Baesens, Jan Vanthienen: ITER: An Algorithm for Predictive Regression Rule Extraction. DaWaK 2006: 270-279

Nishant Kumar, Jan Vanthienen, Jan De Beer, Marie-Francine Moens: Multi-Criteria Evaluation of Information Retrieval Tools. ICEIS (2) 2006: 150-155

Nick Geens, Johan Huysmans, Jan Vanthienen: Evaluation of Web Robot Discovery Techniques: A Benchmarking Study. Industrial Conference on Data Mining 2006: 121-130

Nishant Kumar, Jan De Beer, Jan Vanthienen, Marie-Francine Moens: Intelligent Information Retrieval Tools for Police. ISI 2006: 664-665

Nishant Kumar, Jan De Beer, Jan Vanthienen, Marie-Francine Moens: Evaluation of Information Retrieval and Text Mining Tools on Automatic Named Entity Extraction. ISI 2006: 666-667

Johan Huysmans, David Martens, Bart Baesens, Jan Vanthienen, Tony Van Gestel: Country Corruption Analysis with Self Organizing Maps and Support Vector Machines. WISI 2006: 103-114

Petr Somol, Bart Baesens, Pavel Pudil, Jan Vanthienen: Filter- versus wrapper-based feature selection for credit scoring. Int. J. Intell. Syst. 20(10): 985-999 (2005)

Johan Huysmans, Bart Baesens, Jan Vanthienen: A Comprehensible SOM-Based Scoring System. MLDM 2005: 80-89

Christophe Mues, Bart Baesens, Jan Vanthienen: From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables. Wissensmanagement 2005: 439-443

Christophe Mues, Bart Baesens, Rudy Setiono, Jan Vanthienen: From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables. Wissensmanagement (LNCS Volume) 2005: 483-495

Bart Baesens, Geert Verstraeten, Dirk Van den Poel, Michael Egmont-Petersen, Patrick Van Kenhove, Jan Vanthienen: Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers. European Journal of Operational Research 156(2): 508-523 (2004)

Christophe Mues, Bart Baesens, Craig M. Files, Jan Vanthienen: Decision diagrams in machine learning: an empirical study on real-life credit-risk data. Expert Syst. Appl. 27(2): 257-264 (2004)

Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle: Benchmarking Least Squares Support Vector Machine Classifiers. Machine Learning 54(1): 5-32 (2004)

Christophe Mues, Jan Vanthienen: Efficient Rule Base Verification Using Binary Decision Diagrams. DEXA 2004: 445-454

Christophe Mues, Bart Baesens, Craig M. Files, Jan Vanthienen: Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data. Diagrams 2004: 395-397

Joke Tisaun, Herman Buelens, Jan Vanthienen: Organizing Decentralized Support for a Virtual Learning Environment. CELDA 2004: 504-507

Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens: Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (2) 2004: 226-232

Johan Huysmans, Christophe Mues, Jan Vanthienen, Bart Baesens: Web Usage Mining with Time Constrained Association Rules. ICEIS (2) 2004: 343-348

Christophe Mues, Jan Vanthienen: Improving the Scalability of Rule Base Verification Using Binary Decision Diagrams: An Empirical Study. KI 2004: 381-395

Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen: Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. Management Science 49(3): 312-329 (2003)

Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono: Building Intelligent Credit Scoring Systems Using Decision Tables. ICEIS (2) 2003: 19-25

Bart Baesens, Stijn Viaene, Dirk Van den Poel, Jan Vanthienen, Guido Dedene: Bayesian neural network learning for repeat purchase modelling in direct marketing. European Journal of Operational Research 138(1): 191-211 (2002)

F. Hoffmann, Bart Baesens, Jurgen Martens, Ferdi Put, Jan Vanthienen: Comparing a genetic fuzzy and a neurofuzzy classifier for credit scoring. Int. J. Intell. Syst. 17(11): 1067-1083 (2002)

Stijn Viaene, Bart Baesens, Guido Dedene, Jan Vanthienen, Dirk Van den Poel: Proof Running Two State-Of-The-Art Pattern Recognition Techniques in the Field of Direct Marketing. ICEIS 2002: 446-454

Bart Baesens, Michael Egmont-Petersen, Robert Castelo, Jan Vanthienen: Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. ICPR (3) 2002: 49-52

Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene: Knowledge discovery in a direct marketing case using least squares support vector machines. Int. J. Intell. Syst. 16(9): 1023-1036 (2001)

Stijn Viaene, Bart Baesens, Dirk Van den Poel, Guido Dedene, Jan Vanthienen: Wrapped input selection using multilayer perceptrons for repeat-purchase modeling in direct marketing. Int. Syst. in Accounting, Finance and Management 10(2): 115-126 (2001)

Bart Baesens, Rudy Setiono, Christophe Mues, Stijn Viaene, Jan Vanthienen: Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables. ICIS 2001: 159-168

Jurgen Martens, Geert Wets, Jan Vanthienen, Christophe Mues: Improving a neuro-fuzzy classifier using exploratory factor analysis. Int. J. Intell. Syst. 15(8): 785-800 (2000)

Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene: Wrapped Feature Selection by Means of Guided Neural Network Optimization. ICPR 2000: 2113-2116

Bart Baesens, Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen: An empirical assessment of kernel type performance for least squares support vector machine classifiers. KES 2000: 313-316

Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene: Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case. PKDD 2000: 657-664

Jan Vanthienen, Ana María Moreno García: Illustrating Knowledge Base Restructuring and Verification in a Real World Application. EUROVAV 1999: 177-191

Grigoris Antoniou, Frank van Harmelen, Robert Plant, Jan Vanthienen: Verification and Validation of Knowledge-Based Systems: Report on Two 1997 Events. AI Magazine 19(3): 123-126 (1998)

Jan Vanthienen, Christophe Mues, Ann Aerts: An Illustration of Verification and Validation in the Modelling Phase of KBS Development. Data Knowl. Eng. 27(3): 337-352 (1998)

Geert Wets, Jan Vanthienen, Harry J. P. Timmermans: Modelling Decision Tables from Data. PAKDD 1998: 412-413

Jan Vanthienen, Christophe Mues, Geert Wets: Inter-Tabular Verification in an Interactive Environment. EUROVAV 1997: 155-165

Jan Vanthienen, Frank van Harmelen (Eds.): Proceedings of the Fourth European Symposium on the Validation and Verification of Knowledge-Based Systems, EUROVAV'97, June 26-28, 1997, Katholieke Universiteit Leuven, Leuven, Belgium. Katholieke Universiteit Leuven, Belgium 1997

Jan Vanthienen, Stephan Poelmans: A General Framework for Positioning, Evaluating and Selecting the New Generation of Development Tools. EUROMICRO 1996: 233-241

Carine Van den Acker, Jan Vanthienen: Integrating Statistical Audit Evidence with Belief Function Theory. FAPR 1996: 1-14

Jan Vanthienen, E. Dries, J. Keppens: Clustering Knowledge in Tabular Knowledge Bases. ICTAI 1996: 88-95

Jan Vanthienen, Geert Wets: Integration of the Decision Table Formalism with a Relational Environment. Inf. Syst. 20(7): 595-616 (1995)

Jan Vanthienen, Ann Aerts, Christophe Mues, Geert Wets: A Modeling Approach to KBS Verification. EUROVAV 1995: 155-171

Jan Vanthienen, Geert Wets: From Decision Tables to Expert System Shells. Data Knowl. Eng. 13(3): 265-282 (1994)

Jan Vanthienen, Geert Wets: Restructuring and Optimizing Knowledge Representations. ICTAI 1994: 768-771

Jan Vanthienen, Geert Wets: Managing decision table knowledge in a relational database environment. SEKE 1994: 352-357

Jan Vanthienen, F. Robben: Developing Legal Knowledge Based Systems Using Decision Tables. ICAIL 1993: 282-291

Jan Vanthienen, E. Dries: Illustration of a Decision Table Tool for Specifying and Implementing Knowledge Based Systems. ICTAI 1993: 198-205

F. Hazevoets, B. Vanhoutte, Jan Vanthienen: An Expert System Interface for Consultation of Decision Table Systems. DEXA 1990: 527-530