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ORCIDJan Vanthienen
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- affiliation: KU Leuven, Belgium
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2020 – today
- 2024
[j79]Alexandre Goossens
, Johannes De Smedt, Jan Vanthienen:
Extracting process-aware decision models from object-centric process data. Inf. Sci. 682: 121263 (2024)- [c131]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen:
Object-Centric Event Logs: Characteristics, Comparative Analysis and Road Map. BPM (Forum) 2024: 37-54 - [c130]Jan Vanthienen, Alexandre Goossens:
From Text to Intelligent Services in Knowledge Intensive Decision Processes: Text2Chat. HICSS 2024: 5992-6001 - [i8]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen:
Extracting Process-Aware Decision Models from Object-Centric Process Data. CoRR abs/2401.14847 (2024) - [i7]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen:
Object-Centric Event Logs: Specifications, Comparative Analysis and Refinement. CoRR abs/2405.12709 (2024) - 2023
- [j78]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen:
Extracting Decision Model and Notation models from text using deep learning techniques. Expert Syst. Appl. 211: 118667 (2023) - [c129]Alexandre Goossens, Charlotte Verbruggen, Monique Snoeck, Johannes De Smedt, Jan Vanthienen:
Aligning Object-Centric Event Logs with Data-Centric Conceptual Models. BPMDS/EMMSAD@CAiSE 2023: 44-59 - [c128]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen:
Comparing the Performance of GPT-3 with BERT for Decision Requirements Modeling. CoopIS 2023: 448-458 - [c127]Alexandre Goossens, Adrian Rebmann, Johannes De Smedt, Jan Vanthienen, Han van der Aa:
From OCEL to DOCEL - Datasets and Automated Transformation. ICPM Workshops 2023: 70-83 - [c126]Ziboud Van Veldhoven, Kani Kiliç, Divya Prakash, Ryan Michael Smith-Cooper, Jan Vanthienen:
How a Professional Association Can Steer Digital Transformation: Case Study of the Belgian Notary Industry. QUATIC 2023: 163-177 - [c125]Alexandre Goossens, Simon Vandevelde, Jan Vanthienen, Joost Vennekens:
GPT-3 for Decision Logic Modeling. RuleML+RR (Companion) 2023 - [c124]Alexandre Goossens, Jan Vanthienen:
Integrating GPT-Technologies with Decision Models for Explainability. xAI (3) 2023: 428-448 - [e6]Jan Vanthienen, Tomás Kliegr, Paul Fodor, Davide Lanti, Dörthe Arndt, Egor V. Kostylev, Theodoros Mitsikas, Ahmet Soylu:
Proceedings of the 17th International Rule Challenge and 7th Doctoral Consortium @ RuleML+RR 2023 co-located with 19th Reasoning Web Summer School (RW 2023) and 15th DecisionCAMP 2023 as part of Declarative AI 2023, Oslo, Norway, 18 - 20 September, 2023. CEUR Workshop Proceedings 3485, CEUR-WS.org 2023 [contents] - [i6]Alexandre Goossens, Adrian Rebmann, Johannes De Smedt, Jan Vanthienen, Han van der Aa:
From OCEL to DOCEL - Datasets and Automated Transformation. CoRR abs/2309.14092 (2023) - 2022
- [j77]Rongjia Song, Weiping Cui, Jan Vanthienen, Lei Huang, Ying Wang:
Business process redesign towards IoT-enabled context-awareness: the case of a Chinese bulk port. Bus. Process. Manag. J. 28(3): 656-683 (2022) - [j76]Ziboud Van Veldhoven, Jan Vanthienen:
Digital transformation as an interaction-driven perspective between business, society, and technology. Electron. Mark. 32(2): 629-644 (2022) - [c123]Alexandre Goossens, Ulysse Maes, Yves Timmermans, Jan Vanthienen:
Automated Intelligent Assistance with Explainable Decision Models in Knowledge-Intensive Processes. Business Process Management Workshops 2022: 25-36 - [c122]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, Wil M. P. van der Aalst:
Enhancing Data-Awareness of Object-Centric Event Logs. ICPM Workshops 2022: 18-30 - [e5]Dörthe Arndt, Ahmet Soylu, Jan Vanthienen, Evgeny Kharlamov, Alexander Steen:
Proceedings of the 16th International Rule Challenge and 6th Doctoral Consortium @ RuleML+RR 2022 co-located with 18th Reasoning Web Summer School (RW 2022) and 14th DecisionCAMP 2022 as part of Declarative AI 2022, Berlin, Germany (virtual due to Covid-19 pandemic), 26 - 28 September, 2022. CEUR Workshop Proceedings 3229, CEUR-WS.org 2022 [contents] - [i5]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, Wil M. P. van der Aalst:
Enhancing Data-Awareness of Object-Centric Event Logs. CoRR abs/2212.02858 (2022) - 2021
- [j75]Claudio Di Ciccio, Søren Debois, Artem Polyvyanyy, Tijs Slaats, Arthur H. M. ter Hofstede, Jan Vanthienen:
Preface to the Special Issue on Process Querying and Declarative, Decision and Hybrid Approaches to Processes 2019. J. Data Semant. 10(1-2): 107 (2021) - [c121]Alexandre Goossens, Laure Berth, Emilia Decoene, Ziboud Van Veldhoven, Jan Vanthienen:
Automatically Extracting Insurance Contract Knowledge Using NLP. BIS (Workshops) 2021: 27-38 - [c120]Ziboud Van Veldhoven, Jan Vanthienen:
Consolidating Academic and Practical Guidelines for Digital Transformation. BIS (Workshops) 2021: 279-290 - [c119]Ziboud Van Veldhoven, Vedavyas Etikala, Alexandre Goossens, Jan Vanthienen:
A Scoping Review of the Digital Transformation Literature Using Scientometric Analysis. BIS 2021: 281-292 - [c118]Alexandre Goossens, Michelle Claessens, Charlotte Parthoens, Jan Vanthienen:
Extracting Decision Dependencies and Decision Logic from Text Using Deep Learning Techniques. Business Process Management Workshops 2021: 349-361 - [c117]Vedavyas Etikala, Jan Vanthienen:
An Overview of Methods for Acquiring and Generating Decision Models. KSEM 2021: 200-208 - [c116]Vedavyas Etikala, Alexandre Goossens, Ziboud Van Veldhoven, Jan Vanthienen:
Automatic Generation of Intelligent Chatbots from DMN Decision Models. RuleML+RR 2021: 142-157 - [c115]Alexandre Goossens, Michelle Claessens, Charlotte Parthoens, Jan Vanthienen:
Deep Learning for the Identification of Decision Modelling Components from Text. RuleML+RR 2021: 158-171 - [c114]Simon Vandevelde, Vedavyas Etikala, Jan Vanthienen, Joost Vennekens:
Leveraging the Power of IDP with the Flexibility of DMN: A Multifunctional API. RuleML+RR 2021: 250-263 - [e4]Sotiris Moschoyiannis, Rafael Peñaloza, Jan Vanthienen, Ahmet Soylu, Dumitru Roman:
Rules and Reasoning - 5th International Joint Conference, RuleML+RR 2021, Leuven, Belgium, September 13-15, 2021, Proceedings. Lecture Notes in Computer Science 12851, Springer 2021, ISBN 978-3-030-91166-9 [contents] - 2020
- [j74]Niels Martin, Jochen De Weerdt, Carlos Fernández-Llatas, Avigdor Gal, Roberto Gatta, Gema Ibáñez, Owen A. Johnson, Felix Mannhardt, Luis Marco-Ruiz, Steven Mertens, Jorge Munoz-Gama, Fernando Seoane, Jan Vanthienen, Moe Thandar Wynn, David Baltar Boilève, Jochen Bergs, Mieke Joosten-Melis, Stijn Schretlen, Bram B. Van Acker:
Recommendations for enhancing the usability and understandability of process mining in healthcare. Artif. Intell. Medicine 109: 101962 (2020) - [j73]Faruk Hasic, Jan Vanthienen:
From decision knowledge to e-government expert systems: the case of income taxation for foreign artists in Belgium. Knowl. Inf. Syst. 62(5): 2011-2028 (2020) - [c113]Vedavyas Etikala, Ziboud Van Veldhoven, Jan Vanthienen:
Text2Dec: Extracting Decision Dependencies from Natural Language Text for Automated DMN Decision Modelling. Business Process Management Workshops 2020: 367-379 - [c112]Jan Kunnen, Maxime Duchateau, Ziboud Van Veldhoven, Jan Vanthienen:
Benchmarking Stacking Against Other Heterogeneous Ensembles in Telecom Churn Prediction. SSCI 2020: 1234-1240 - [c111]Alexander Stevens, Peter Deruyck, Ziboud Van Veldhoven, Jan Vanthienen:
Explainability and Fairness in Machine Learning: Improve Fair End-to-end Lending for Kiva. SSCI 2020: 1241-1248 - [e3]Sotiris Moschoyiannis, Paul Fodor, Jan Vanthienen, Daniela Inclezan, Nikolay Nikolov, Francisco Martín-Recuerda, Ioan Toma:
Proceedings of the 14th International Rule Challenge, 4th Doctoral Consortium, and 6th Industry Track @ RuleML+RR 2020 co-located with 16th Reasoning Web Summer School (RW 2020) 12th DecisionCAMP 2020 as part of Declarative AI 2020, Oslo, Norway (virtual due to Covid-19 pandemic), 29 June - 1 July, 2020. CEUR Workshop Proceedings 2644, CEUR-WS.org 2020 [contents] - [i4]María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen:
A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry. CoRR abs/2001.06700 (2020) - [i3]María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen:
Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture. CoRR abs/2001.06701 (2020) - [i2]María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen:
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. CoRR abs/2001.10994 (2020) - [i1]María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens:
The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics. CoRR abs/2002.09931 (2020)
2010 – 2019
- 2019
- [j72]María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens:
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics. Appl. Soft Comput. 74: 26-39 (2019) - [j71]Jasmien Lismont, Tine Van Calster, María Óskarsdóttir, Seppe vanden Broucke, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen:
Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study. Bus. Inf. Syst. Eng. 61(6): 679-693 (2019) - [j70]Faruk Hasic, Jan Vanthienen:
Complexity metrics for DMN decision models. Comput. Stand. Interfaces 65: 15-37 (2019) - [j69]Johannes De Smedt, Faruk Hasic, Seppe K. L. M. vanden Broucke, Jan Vanthienen:
Holistic discovery of decision models from process execution data. Knowl. Based Syst. 183 (2019) - [c110]Rongjia Song, Jan Vanthienen, Weiping Cui, Ying Wang, Lei Huang:
A DMN-Based Method for Context-Aware Business Process Modeling Towards Process Variability. BIS (1) 2019: 176-188 - [c109]Ziboud Van Veldhoven, Jan Vanthienen:
Designing a Comprehensive Understanding of Digital Transformation and its Impact. Bled eConference 2019: 22 - [c108]Ziboud Van Veldhoven, Rongjia Song, Jan Vanthienen:
Cross-language Keyword Analysis of Digital Transformation for Business. ICEBE 2019: 67-80 - [c107]Rongjia Song, Jan Vanthienen, Weiping Cui, Ying Wang, Lei Huang:
What Roles Do Decisions Play in Context-aware Business Process Management? ICEIS (2) 2019: 626-633 - [c106]Rongjia Song, Jan Vanthienen, Weiping Cui, Ying Wang, Lei Huang:
Towards a comprehensive understanding of the context concepts in context-aware business processes. S-BPM ONE 2019: 5:1-5:10 - [c105]Rongjia Song, Jan Vanthienen, Weiping Cui, Ying Wang, Lei Huang:
Context-Aware BPM Using IoT-Integrated Context Ontologies and IoT-Enhanced Decision Models. CBI (1) 2019: 541-550 - 2018
- [j68]María Óskarsdóttir, Bart Baesens, Jan Vanthienen:
Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values. Big Data 6(1): 53-65 (2018) - [j67]Faruk Hasic, Johannes De Smedt, Jan Vanthienen:
Augmenting processes with decision intelligence: Principles for integrated modelling. Decis. Support Syst. 107: 1-12 (2018) - [j66]Jasmien Lismont, Eddy Cardinaels, Liesbeth Bruynseels, Sander De Groote, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen:
Predicting tax avoidance by means of social network analytics. Decis. Support Syst. 108: 13-24 (2018) - [j65]Kathrin Figl, Jan Mendling, Gül Tokdemir, Jan Vanthienen:
What we know and what we do not know about DMN. EMISA Forum 38(1): 24-26 (2018) - [j64]Kathrin Figl, Jan Mendling, Gül Tokdemir, Jan Vanthienen:
What we know and what we do not know about DMN. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 13: 2:1-16 (2018) - [j63]Jasmien Lismont, Sudha Ram, Jan Vanthienen, Wilfried Lemahieu, Bart Baesens:
Predicting interpurchase time in a retail environment using customer-product networks: An empirical study and evaluation. Expert Syst. Appl. 104: 22-32 (2018) - [j62]María Óskarsdóttir, Tine Van Calster, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen:
Time series for early churn detection: Using similarity based classification for dynamic networks. Expert Syst. Appl. 106: 55-65 (2018) - [j61]Johannes De Smedt, Jochen De Weerdt, Estefanía Serral, Jan Vanthienen:
Discovering hidden dependencies in constraint-based declarative process models for improving understandability. Inf. Syst. 74(Part): 40-52 (2018) - [c104]Faruk Hasic, Alexander De Craemer, Thijs Hegge, Gideon Magala, Jan Vanthienen:
Measuring the Complexity of DMN Decision Models. Business Process Management Workshops 2018: 514-526 - [c103]María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen:
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. ICIS 2018 - [c102]Faruk Hasic, Johannes De Smedt, Jan Vanthienen:
Redesigning Processes for Decision-Awareness: Strategies for Integrated Modelling. QUATIC 2018: 247-250 - [c101]Marjolein Deryck, Faruk Hasic, Jan Vanthienen, Joost Vennekens:
A Case-Based Inquiry into the Decision Model and Notation (DMN) and the Knowledge Base (KB) Paradigm. RuleML+RR 2018: 248-263 - 2017
- [j60]María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen:
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture. Expert Syst. Appl. 85: 204-220 (2017) - [j59]Jasmien Lismont, Jan Vanthienen, Bart Baesens, Wilfried Lemahieu:
Defining analytics maturity indicators: A survey approach. Int. J. Inf. Manag. 37(3): 114-124 (2017) - [c100]Johannes De Smedt, Faruk Hasic, Seppe K. L. M. vanden Broucke, Jan Vanthienen:
Towards a Holistic Discovery of Decisions in Process-Aware Information Systems. BPM 2017: 183-199 - [c99]Faruk Hasic, Lesly Devadder, Maxim Dochez, Jonas Hanot, Johannes De Smedt, Jan Vanthienen:
Challenges in Refactoring Processes to Include Decision Modelling. Business Process Management Workshops 2017: 529-541 - [c98]Faruk Hasic, Johannes De Smedt, Jan Vanthienen:
Towards Assessing the Theoretical Complexity of the Decision Model and Notation (DMN). RADAR+EMISA@CAiSE 2017: 64-71 - [c97]Faruk Hasic, Linus Vanwijck, Jan Vanthienen:
Integrating Processes, Cases, and Decisions for Knowledge-Intensive Process Modelling. PrOse@PoEM 2017 - [c96]Faruk Hasic, Johannes De Smedt, Jan Vanthienen:
Developing a Modelling and Mining Framework for Integrated Processes and Decisions. OTM Workshops 2017: 259-269 - [c95]Faruk Hasic, Johannes De Smedt, Jan Vanthienen:
A Service-Oriented Architecture Design of Decision-Aware Information Systems: Decision as a Service - (Short Paper). OTM Conferences (1) 2017: 353-361 - [e2]Dominik Bork, Dimitris Karagiannis, Jan Vanthienen:
Proceedings of the 1st International Workshop on Practicing Open Enterprise Modeling within OMiLAB (PrOse 2017) co-located with 10th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM 2017), Leuven, Belgium, November 22, 2017. CEUR Workshop Proceedings 1999, CEUR-WS.org 2017 [contents] - 2016
- [j58]Johannes De Smedt, Jochen De Weerdt, Jan Vanthienen, Geert Poels:
Mixed-Paradigm Process Modeling with Intertwined State Spaces. Bus. Inf. Syst. Eng. 58(1): 19-29 (2016) - [j57]Johannes De Smedt, Jochen De Weerdt, Jan Vanthienen, Geert Poels:
Erratum to: Mixed-Paradigm Process Modeling with Intertwined State Spaces. Bus. Inf. Syst. Eng. 58(1): 101-104 (2016) - [j56]Jasmien Lismont, Anne-Sophie Janssens, Irina Odnoletkova, Seppe vanden Broucke, Filip Caron, Jan Vanthienen:
A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways. Comput. Biol. Medicine 77: 125-134 (2016) - [j55]Xinwei Zhu, Seppe vanden Broucke, Guobin Zhu, Jan Vanthienen, Bart Baesens:
Enabling flexible location-aware business process modeling and execution. Decis. Support Syst. 83: 1-9 (2016) - [j54]Filip Caron, Jan Vanthienen:
Exploring business process modelling paradigms and design-time to run-time transitions. Enterp. Inf. Syst. 10(7): 790-813 (2016) - [j53]Seppe K. L. M. vanden Broucke, Filip Caron, Jasmien Lismont, Jan Vanthienen, Bart Baesens:
On the gap between reality and registration: a business event analysis classification framework. Inf. Technol. Manag. 17(4): 393-410 (2016) - [j52]Bart Baesens, Ravi Bapna, James R. Marsden, Jan Vanthienen, J. Leon Zhao:
Transformational Issues of Big Data and Analytics in Networked Business. MIS Q. 40(4): 807-818 (2016) - [c94]María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen:
A comparative study of social network classifiers for predicting churn in the telecommunication industry. ASONAM 2016: 1151-1158 - [c93]Johannes De Smedt, Claudio Di Ciccio, Jan Vanthienen, Jan Mendling:
Model Checking of Mixed-Paradigm Process Models in a Discovery Context - Finding the Fit Between Declarative and Procedural. Business Process Management Workshops 2016: 74-86 - [c92]Johannes De Smedt, Seppe K. L. M. vanden Broucke, Josué Obregon, Aekyung Kim, Jae-Yoon Jung, Jan Vanthienen:
Decision Mining in a Broader Context: An Overview of the Current Landscape and Future Directions. Business Process Management Workshops 2016: 197-207 - [c91]Johannes De Smedt, Jochen De Weerdt, Estefanía Serral, Jan Vanthienen:
Improving Understandability of Declarative Process Models by Revealing Hidden Dependencies. CAiSE 2016: 83-98 - [c90]Laurent Janssens, Ekaterina Bazhenova, Johannes De Smedt, Jan Vanthienen, Marc Denecker:
Consistent Integration of Decision (DMN) and Process (BPMN) Models. CAiSE Forum 2016: 121-128 - [c89]Laurent Janssens, Johannes De Smedt, Jan Vanthienen:
Modeling and Enacting Enterprise Decisions. CAiSE Workshops 2016: 169-180 - [c88]Ingmar Dasseville, Laurent Janssens, Gerda Janssens, Jan Vanthienen, Marc Denecker:
Combining DMN and the Knowledge Base Paradigm for Flexible Decision Enactment. RuleML (Supplement) 2016 - 2015
- [j51]Johannes De Smedt, Jochen De Weerdt, Jan Vanthienen:
Fusion Miner: Process discovery for mixed-paradigm models. Decis. Support Syst. 77: 123-136 (2015) - [j50]Stijn Goedertier, Jan Vanthienen, Filip Caron:
Declarative business process modelling: principles and modelling languages. Enterp. Inf. Syst. 9(2): 161-185 (2015) - [j49]Estefanía Serral, Johannes De Smedt, Monique Snoeck, Jan Vanthienen:
Context-adaptive Petri nets: Supporting adaptation for the execution context. Expert Syst. Appl. 42(23): 9307-9317 (2015) - [c87]Johannes De Smedt, Jochen De Weerdt, Estefanía Serral, Jan Vanthienen:
Gamification of Declarative Process Models for Learning and Model Verification. Business Process Management Workshops 2015: 432-443 - [c86]Jan Vanthienen:
On Smart Data, Decisions and Processes. KDIR 2015: 5 - 2014
- [j48]Filip Caron, Jan Vanthienen, Kris Vanhaecht, Erik van Limbergen, Jochen De Weerdt, Bart Baesens:
Monitoring care processes in the gynecologic oncology department. Comput. Biol. Medicine 44: 88-96 (2014) - [j47]Ying Wang, Filip Caron, Jan Vanthienen, Lei Huang, Yi Guo:
Acquiring logistics process intelligence: Methodology and an application for a Chinese bulk port. Expert Syst. Appl. 41(1): 195-209 (2014) - [j46]Alex Seret, Seppe K. L. M. vanden Broucke, Bart Baesens, Jan Vanthienen:
A dynamic understanding of customer behavior processes based on clustering and sequence mining. Expert Syst. Appl. 41(10): 4648-4657 (2014) - [j45]Filip Caron, Jan Vanthienen, Bart Baesens:
Clinical Pathway Analytics. J. Inf. Technol. Res. 7(1): 12-26 (2014) - [j44]Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen, Bart Baesens:
Determining Process Model Precision and Generalization with Weighted Artificial Negative Events. IEEE Trans. Knowl. Data Eng. 26(8): 1877-1889 (2014) - [c85]Xinwei Zhu, Guobin Zhu, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens:
Towards Location-Aware Process Modeling and Execution. Business Process Management Workshops 2014: 186-197 - [c84]Estefanía Serral, Johannes De Smedt, Jan Vanthienen:
Extending CPN Tools with Ontologies to Support the Management of Context-Adaptive Business Processes. Business Process Management Workshops 2014: 198-209 - [c83]Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens:
Declarative process discovery with evolutionary computing. IEEE Congress on Evolutionary Computation 2014: 2412-2419 - [c82]Seppe K. L. M. vanden Broucke, Jorge Munoz-Gama, Josep Carmona, Bart Baesens, Jan Vanthienen:
Event-Based Real-Time Decomposed Conformance Analysis. OTM Conferences 2014: 345-363 - [c81]Johannes De Smedt, Jochen De Weerdt, Jan Vanthienen:
Multi-paradigm Process Mining: Retrieving Better Models by Combining Rules and Sequences - (Short Paper). OTM Conferences 2014: 446-453 - [c80]Estefanía Serral, Johannes De Smedt, Jan Vanthienen:
Making Business Environments Smarter: A Context-Adaptive Petri Net Approach. UIC/ATC/ScalCom 2014: 343-348 - 2013
- [j43]Filip Caron, Jan Vanthienen, Bart Baesens:
A comprehensive investigation of the applicability of process mining techniques for enterprise risk management. Comput. Ind. 64(4): 464-475 (2013) - [j42]Filip Caron, Jan Vanthienen, Bart Baesens:
Comprehensive rule-based compliance checking and risk management with process mining. Decis. Support Syst. 54(3): 1357-1369 (2013) - [j41]Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens:
Active Trace Clustering for Improved Process Discovery. IEEE Trans. Knowl. Data Eng. 25(12): 2708-2720 (2013) - [c79]Seppe K. L. M. vanden Broucke, Cédric Delvaux, João Freitas, Taisiia Rogova, Jan Vanthienen, Bart Baesens:
Uncovering the Relationship Between Event Log Characteristics and Process Discovery Techniques. Business Process Management Workshops 2013: 41-53 - [c78]Seppe K. L. M. vanden Broucke, Filip Caron, Jan Vanthienen, Bart Baesens:
Validating and Enhancing Declarative Business Process Models Based on Allowed and Non-occurring Past Behavior. Business Process Management Workshops 2013: 212-223 - [c77]Seppe vanden Broucke, Jan Vanthienen, Bart Baesens:
Volvo IT Belgium VINST. BPIC@BPM 2013 - [c76]Alex Seret, Seppe K. L. M. vanden Broucke, Bart Baesens, Jan Vanthienen:
An Exploratory Approach for Understanding Customer Behavior Processes Based on Clustering and Sequence Mining. Business Process Management Workshops 2013: 237-248 - [c75]Ying Wang, Filip Caron, Jan Vanthienen, Lei Huang, Yi Guo:
Investigating Service Behavior Variance in Port Logistics from a Process Perspective. Business Process Management Workshops 2013: 318-329 - [c74]Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen, Bart Baesens:
A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM. CIDM 2013: 254-261 - [c73]Filip Caron, Jan Vanthienen, Bart Baesens:
Business Rule Patterns and Their Application to Process Analytics. EDOC Workshops 2013: 13-20 - [c72]Jan Vanthienen, Filip Caron:
Modeling Business Decisions and Processes - Which Comes First?. KDIR/KMIS 2013: 451-456 - [c71]Avi Wasser, Jan Vanthienen:
SeDeS 2013 PC Co-Chairs Message. OTM Workshops 2013: 555 - 2012
- [j40]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) - [c70]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 - [c69]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 - [c68]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 - [c67]Filip Caron, Jan Vanthienen:
Moving Across Paradigms between the Process Design and Enactment Phase in Enterprise Information Systems. ICEIS (3) 2012: 218-223 - [c66]Filip Caron, Jan Vanthienen, Bart Baesens:
Rule-Based Business Process Mining: Applications for Management. IS-MiS 2012: 273-282 - [c65]Yan Tang Demey, Jan Vanthienen:
SeDeS 2012 PC Co-chairs Message. OTM Workshops 2012: 484 - [c64]Feng Wu, Laura Priscilla, Mingji Gao, Filip Caron, Willem De Roover, Jan Vanthienen:
Modeling Decision Structures and Dependencies. OTM Workshops 2012: 525-533 - [c63]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 - 2011
- [j39]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) - [j38]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. Decis. Support Syst. 51(1): 141-154 (2011) - [j37]Ram D. Gopal, James R. Marsden, Jan Vanthienen:
Information mining - Reflections on recent advancements and the road ahead in data, text, and media mining. Decis. Support Syst. 51(4): 727-731 (2011) - [j36]David Martens, Jan Vanthienen, Wouter Verbeke, Bart Baesens:
Performance of classification models from a user perspective. Decis. Support Syst. 51(4): 782-793 (2011) - [c62]Filip Caron, Jan Vanthienen, Jochen De Weerdt, Bart Baesens:
Advanced Care-Flow Mining and Analysis. Business Process Management Workshops (1) 2011: 167-168 - [c61]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 E. 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 - [c60]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 - [c59]Filip Caron, Jan Vanthienen:
An Exploratory Approach to Process Lifecycle Transitions from a Paradigm-Based Perspective. BMMDS/EMMSAD 2011: 178-185 - [c58]Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens:
A robust F-measure for evaluating discovered process models. CIDM 2011: 148-155 - [c57]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 - [c56]Willem De Roover, Jan Vanthienen:
On the Relation between Decision Structures, Tables and Processes. OTM Workshops 2011: 591-598 - [c55]Jan Vanthienen:
Rules, Tables and Decisions: A Family History Tale. RuleML America 2011: 10 - 2010
- [j35]David Martens, Tony Van Gestel, Manu De Backer, Raf Haesen, Jan Vanthienen, Bart Baesens:
Credit rating prediction using Ant Colony Optimization. J. Oper. Res. Soc. 61(4): 561-573 (2010) - [c54]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 - [c53]Willem De Roover, Jan Vanthienen:
Unified Patterns to Transform Business Rules into an Event Coordination Mechanism. Business Process Management Workshops 2010: 730-742 - [c52]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
2000 – 2009
- 2009
- [j34]Stijn Goedertier, David Martens, Jan Vanthienen, Bart Baesens:
Robust Process Discovery with Artificial Negative Events. J. Mach. Learn. Res. 10: 1305-1340 (2009) - [j33]Bart Baesens, Christophe Mues, David Martens, Jan Vanthienen:
50 years of data mining and OR: upcoming trends and challenges. J. Oper. Res. Soc. 60(S1) (2009) - 2008
- [j32]David Martens, Liesbeth Bruynseels, Bart Baesens, Marleen Willekens, Jan Vanthienen:
Predicting going concern opinion with data mining. Decis. Support Syst. 45(4): 765-777 (2008) - [j31]Stijn Goedertier, Raf Haesen, Jan Vanthienen:
Rule-based business process modelling and enactment. Int. J. Bus. Process. Integr. Manag. 3(3): 194-207 (2008) - [j30]Johan Huysmans, Rudy Setiono, Bart Baesens, Jan Vanthienen:
Minerva: Sequential Covering for Rule Extraction. IEEE Trans. Syst. Man Cybern. Part B 38(2): 299-309 (2008) - [c51]Yan Tang, Robert Meersman, Jan Vanthienen:
Semantic Decision Tables: Self-organizing and Reorganizable Decision Tables. DEXA 2008: 434-449 - [p2]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 - [p1]Johan Huysmans, Bart Baesens, Jan Vanthienen:
A Data Miner's Approach to Country Corruption Analysis. Intelligence and Security Informatics 2008: 227-247 - 2007
- [j29]Johan Huysmans, Bart Baesens, Jan Vanthienen:
A new approach for measuring rule set consistency. Data Knowl. Eng. 63(1): 167-182 (2007) - [j28]Frank Hoffmann, Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen:
Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. Eur. J. Oper. Res. 177(1): 540-555 (2007) - [j27]David Martens, Bart Baesens, Tony Van Gestel, Jan Vanthienen:
Comprehensible credit scoring models using rule extraction from support vector machines. Eur. J. Oper. Res. 183(3): 1466-1476 (2007) - [j26]David Martens, Manu De Backer, Raf Haesen, Jan Vanthienen, Monique Snoeck, Bart Baesens:
Classification With Ant Colony Optimization. IEEE Trans. Evol. Comput. 11(5): 651-665 (2007) - [c50]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 - [c49]Stijn Goedertier, Jan Vanthienen:
A Vocabulary and Execution Model for Declarative Service Orchestration. Business Process Management Workshops 2007: 496-501 - [c48]Stijn Goedertier, Jan Vanthienen:
Declarative Process Modeling with Business Vocabulary and Business Rules. OTM Workshops (1) 2007: 603-612 - [c47]Stijn Goedertier, Christophe Mues, Jan Vanthienen:
Specifying Process-Aware Access Control Rules in SBVR. RuleML 2007: 39-52 - 2006
- [j25]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. Decis. Support Syst. 42(2): 1131-1151 (2006) - [j24]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) - [j23]Johan Huysmans, Bart Baesens, Jan Vanthienen, Tony Van Gestel:
Failure prediction with self organizing maps. Expert Syst. Appl. 30(3): 479-487 (2006) - [c46]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 - [c45]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 - [c44]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 - [c43]Stijn Goedertier, Jan Vanthienen:
Business Rules for Compliant Business Process Models. BIS 2006: 558-572 - [c42]Stijn Goedertier, Jan Vanthienen:
Designing Compliant Business Processes with Obligations and Permissions. Business Process Management Workshops 2006: 5-14 - [c41]Stijn Goedertier, Jan Vanthienen:
Compliant and Flexible Business Processes with Business Rules. BPMDS 2006 - [c40]Jan Vanthienen, Christophe Mues, Stijn Goedertier:
Experiences with Modeling and Verification of Regulations. ReMo2V 2006 - [c39]Johan Huysmans, Bart Baesens, Jan Vanthienen:
ITER: An Algorithm for Predictive Regression Rule Extraction. DaWaK 2006: 270-279 - [c38]Nishant Kumar, Jan Vanthienen, Jan De Beer, Marie-Francine Moens:
Multi-Criteria Evaluation of Information Retrieval Tools. ICEIS (2) 2006: 150-155 - [c37]Nick Geens, Johan Huysmans, Jan Vanthienen:
Evaluation of Web Robot Discovery Techniques: A Benchmarking Study. ICDM 2006: 121-130 - [c36]Nishant Kumar, Jan De Beer, Jan Vanthienen, Marie-Francine Moens:
Intelligent Information Retrieval Tools for Police. ISI 2006: 664-665 - [c35]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 - [c34]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 - 2005
- [j22]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) - [j21]Bart Baesens, Tony Van Gestel, M. Stepanova, Dirk Van den Poel, Jan Vanthienen:
Neural network survival analysis for personal loan data. J. Oper. Res. Soc. 56(9): 1089-1098 (2005) - [c33]Johan Huysmans, Bart Baesens, Jan Vanthienen:
A Comprehensible SOM-Based Scoring System. MLDM 2005: 80-89 - [c32]Christophe Mues, Bart Baesens, Jan Vanthienen:
From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables. Wissensmanagement 2005: 439-443 - [c31]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 - 2004
- [j20]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. Eur. J. Oper. Res. 156(2): 508-523 (2004) - [j19]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) - [j18]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. Mach. Learn. 54(1): 5-32 (2004) - [c30]Christophe Mues, Jan Vanthienen:
Efficient Rule Base Verification Using Binary Decision Diagrams. DEXA 2004: 445-454 - [c29]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 - [c28]Joke Tisaun, Herman Buelens, Jan Vanthienen:
Organizing Decentralized Support for a Virtual Learning Environment. CELDA 2004: 504-507 - [c27]Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens:
Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (Selected Papers) 2004: 109-115 - [c26]Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens:
Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (2) 2004: 226-232 - [c25]Johan Huysmans, Christophe Mues, Jan Vanthienen, Bart Baesens:
Web Usage Mining with Time Constrained Association Rules. ICEIS (2) 2004: 343-348 - [c24]Christophe Mues, Jan Vanthienen:
Improving the Scalability of Rule Base Verification Using Binary Decision Diagrams: An Empirical Study. KI 2004: 381-395 - 2003
- [j17]Bart Baesens, Tony Van Gestel, Stijn Viaene, M. Stepanova, Johan A. K. Suykens, Jan Vanthienen:
Benchmarking state-of-the-art classification algorithms for credit scoring. J. Oper. Res. Soc. 54(6): 627-635 (2003) - [j16]Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen:
Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. Manag. Sci. 49(3): 312-329 (2003) - [c23]Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Marcelo Espinoza, Dirk-Emma Baestaens, Jan Vanthienen, Bart De Moor:
Bankruptcy prediction with least squares support vector machine classifiers. CIFEr 2003: 1-8 - [c22]Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono:
Building Intelligent Credit Scoring Systems Using Decision Tables. ICEIS (2) 2003: 19-25 - 2002
- [j15]Bart Baesens, Stijn Viaene, Dirk Van den Poel, Jan Vanthienen, Guido Dedene:
Bayesian neural network learning for repeat purchase modelling in direct marketing. Eur. J. Oper. Res. 138(1): 191-211 (2002) - [j14]Frank 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) - [c21]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 - [c20]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 - 2001
- [j13]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) - [j12]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. Intell. Syst. Account. Finance Manag. 10(2): 115-126 (2001) - [c19]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 - 2000
- [j11]Stijn Viaene, Geert Wets, Jan Vanthienen:
A synthesis of fuzzy rule-based system verification. Fuzzy Sets Syst. 113(2): 253-265 (2000) - [j10]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) - [j9]Frans Coenen, Trevor J. M. Bench-Capon, Robin Boswell, Juliette Dibie-Barthélemy, Barry Eaglestone, Rik Gerrits, Éric Grégoire, Antoni Ligeza, Luis M. Laita, Mieczyslaw L. Owoc, Florence Sellini, Silvie Spreeuwenberg, Jan Vanthienen, Anca I. Vermesan, Nirmalie Wiratunga:
Validation and verification of knowledge-based systems: report on EUROVAV99. Knowl. Eng. Rev. 15(2): 187-196 (2000) - [c18]Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene:
Wrapped Feature Selection by Means of Guided Neural Network Optimization. ICPR 2000: 2113-2116 - [c17]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 - [c16]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
1990 – 1999
- 1999
- [c15]Jan Vanthienen, Ana María Moreno García:
Illustrating Knowledge Base Restructuring and Verification in a Real World Application. EUROVAV 1999: 177-191 - 1998
- [j8]Grigoris Antoniou, Frank van Harmelen, Robert Plant, Jan Vanthienen:
Verification and Validation of Knowledge-Based Systems: Report on Two 1997 Events. AI Mag. 19(3): 123-126 (1998) - [j7]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) - [c14]Geert Wets, Jan Vanthienen, Christophe Mues, Harry J. P. Timmermans:
Extracting complete and consistent knowledge patterns from data. EUROVAV 1998 - [c13]Geert Wets, Jan Vanthienen, Harry J. P. Timmermans:
Modelling Decision Tables from Data. PAKDD 1998: 412-413 - 1997
- [c12]Jan Vanthienen, Christophe Mues, Geert Wets:
Inter-Tabular Verification in an Interactive Environment. EUROVAV 1997: 155-165 - [e1]Jan Vanthienen, Frank van Harmelen:
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 [contents] - 1996
- [j6]Jan Vanthienen, Geert Wets, Guoqing Chen:
Incorporating fuzziness in the classical decision table formalism. Int. J. Intell. Syst. 11(11): 879-891 (1996) - [c11]Jan Vanthienen, Stephan Poelmans:
A General Framework for Positioning, Evaluating and Selecting the New Generation of Development Tools. EUROMICRO 1996: 233-241 - [c10]Carine Van den Acker, Jan Vanthienen:
Integrating Statistical Audit Evidence with Belief Function Theory. FAPR 1996: 1-14 - [c9]Jan Vanthienen, Elke Dries, Jeroen Keppens:
Clustering Knowledge in Tabular Knowledge Bases. ICTAI 1996: 88-95 - 1995
- [j5]Jan Vanthienen, Geert Wets:
Integration of the Decision Table Formalism with a Relational Environment. Inf. Syst. 20(7): 595-616 (1995) - [c8]Jan Vanthienen, Ann Aerts, Christophe Mues, Geert Wets:
A Modeling Approach to KBS Verification. EUROVAV 1995: 155-171 - [c7]Jan Vanthienen, Elke Dries:
Restructuring and simplifying rule bases. ICTAI 1995: 484-485 - 1994
- [j4]Jan Vanthienen, Geert Wets:
From Decision Tables to Expert System Shells. Data Knowl. Eng. 13(3): 265-282 (1994) - [j3]Jan Vanthienen, Elke Dries:
Illustration of a Decision Table Tool for Specifying and Implementing Knowledge Based Systems. Int. J. Artif. Intell. Tools 3(2): 267-288 (1994) - [c6]Jan Vanthienen, Geert Wets:
Restructuring and Optimizing Knowledge Representations. ICTAI 1994: 768-771 - [c5]Jan Vanthienen, Geert Wets:
Managing decision table knowledge in a relational database environment. SEKE 1994: 352-357 - 1993
- [c4]Jan Vanthienen, F. Robben:
Developing Legal Knowledge Based Systems Using Decision Tables. ICAIL 1993: 282-291 - [c3]Jan Vanthienen, Elke Dries:
Illustration of a Decision Table Tool for Specifying and Implementing Knowledge Based Systems. ICTAI 1993: 198-205 - 1990
- [c2]F. Hazevoets, B. Vanhoutte, Jan Vanthienen:
An Expert System Interface for Consultation of Decision Table Systems. DEXA 1990: 527-530
1980 – 1989
- 1988
- [j2]Peter H. Veltink, Jan Vanthienen, Herman B. K. Boom:
Simulation of intrafascicular and extraneural nerve stimulation. IEEE Trans. Biomed. Eng. 35(1): 69-75 (1988) - 1985
- [j1]Jan Vanthienen:
A note on English for decision tables considered harmful and the nested IF-THEN-ELSE. ACM SIGPLAN Notices 20(5): 45-47 (1985) - 1981
- [c1]Rudolf Maes, Jan Vanthienen, Maurice Verhelst:
Procedural Decision Support Through The Use of PRODEMO. ICIS 1981: 10
Coauthor Index
[i4] [i3] [i2] [i1] [j72] [j71] [j68] [j66] [j63] [j62] [c103] [j60] [j59] [j55] [j53] [j52] [c94] [j48] [j46] [j45] [j44] [c85] [c83] [c82] [j43] [j42] [j41] [c79] [c78] [c77] [c76] [c74] [c73] [j40] [c70] [c69] [c68] [c66] [c63] [j39] [j38] [j36] [c62] [c58] [j35] [c54] [j34] [j33] [j32] [j30] [p2] [p1] [j29] [j28] [j27] [j26] [c50] [j25] [j24] [j23] [c45] [c39] [c34] [j22] [j21] [c33] [c32] [c31] [j20] [j19] [j18] [c29] [c27] [c26] [c25] [j17] [j16] [c23] [c22] [j15] [j14] [c21] [c20] [j13] [j12] [c19] [c18] [c17] [c16]
Seppe K. L. M. vanden Broucke
aka: Seppe vanden Broucke
aka: Seppe vanden Broucke
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