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Benoît Depaire
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- affiliation: Hasselt University, Belgium
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2020 – today
- 2024
- [j25]Greg Van Houdt
, Massimiliano de Leoni, Niels Martin
An empirical evaluation of unsupervised event log abstraction techniques in process mining. Inf. Syst. 121: 102320 (2024) - [j24]Manal Laghmouch
Auditors' Risk Perception of Process Control Deficiencies: A Discrete Choice Experiment. J. Inf. Syst. 38(2): 79-97 (2024) - [c49]Manal Laghmouch, Benoît Depaire, Mieke Jans:
Towards Full Population Testing in Auditing: How Many Process Deviations Should Be Labeled? ICPM 2024: 49-56 - [e3]Adela del-Río-Ortega, Marco Montali, Stefanie Rinderle-Ma, Hajo A. Reijers, Jan vom Brocke, Mathias Weske, Benoît Depaire, Marta Indulska, Han van der Aa, Weronika T. Adrian, Laura Genga, Sander J. J. Leemans, Katarzyna Gdowska, María Teresa Gómez-López, Jana-Rebecca Rehse, Simone Agostinelli:
Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2024 co-located with 22nd International Conference on Business Process Management (BPM 2024), Krakow, Poland, September 1st to 6th, 2024. CEUR Workshop Proceedings 3758, CEUR-WS.org 2024 [contents] - 2023
- [j23]Iris Beerepoot
The biggest business process management problems to solve before we die. Comput. Ind. 146: 103837 (2023) - [j22]Leen Jooken
Mining Recency-Frequency-Monetary enriched insights into resources' collaboration behavior from event data. Eng. Appl. Artif. Intell. 126: 106765 (2023) - [j21]Greg Van Houdt
AITIA-PM: Discovering the true causes of events in a process mining context. Eng. Appl. Artif. Intell. 126(Part D): 107145 (2023) - [j20]Hans Geboers
A Rational Risk Policy? Why Path Dependence Matters. Entropy 25(2): 202 (2023) - [c48]Manal Laghmouch, Benoît Depaire, Nicola Gigante, Mieke Jans, Marco Montali:
Declare MoGeS: Model Generator and Specializer. ICPM Doctoral Consortium / Demo 2023 - [i3]Jan Mendling, Henrik Leopold, Henning Meyerhenke, Benoît Depaire:
Methodology of Algorithm Engineering. CoRR abs/2310.18979 (2023) - 2022
- [j19]Gerhardus A. W. M. van Hulzen
Mining context-aware resource profiles in the presence of multitasking. Artif. Intell. Medicine 134: 102434 (2022) - [j18]Gerhardus van Hulzen
Supporting capacity management decisions in healthcare using data-driven process simulation. J. Biomed. Informatics 129: 104060 (2022) - [c47]Brecht Steukers, Gert Janssenswillen, Gerhardus A. W. M. van Hulzen, Frank Vanhoenshoven, Benoît Depaire:
bupaRflow: A Workflow Interface for bupaR. BPM (PhD/Demos) 2022: 102-106 - [c46]Benoît Depaire
Alpha Precision: Estimating the Significant System Behavior in a Model. BPM (Forum) 2022: 120-136 - [c45]Leen Jooken
Mining Valuable Collaborations from Event Data Using the Recency-Frequency-Monetary Principle. CAiSE 2022: 339-354 - [c44]Gerhardus A. W. M. van Hulzen, Gert Janssenswillen, Niels Martin, Benoît Depaire:
Process Analysis with bupaR 0.5.0: What's New? (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 95-99 - 2021
- [j17]Mieke Jans
Conformance Checking in Process Mining. Inf. Syst. 102: 101851 (2021) - [j16]Niels Martin
Mining Batch Activation Rules from Event Logs. IEEE Trans. Serv. Comput. 14(6): 1837-1848 (2021) - [c43]Gerhardus van Hulzen
Looking Beyond Activity Labels: Mining Context-Aware Resource Profiles Using Activity Instance Archetypes. BPM (Forum) 2021: 230-245 - [c42]Greg Van Houdt
Root Cause Analysis in Process Mining with Probabilistic Temporal Logic. ICPM Workshops 2021: 73-84 - [i2]Jan Mendling, Benoît Depaire, Henrik Leopold:
Theory and Practice of Algorithm Engineering. CoRR abs/2107.10675 (2021) - 2020
- [j15]Niels Martin
Retrieving the resource availability calendars of a process from an event log. Inf. Syst. 88 (2020) - [j14]Jeroen Corstjens
A multilevel evaluation method for heuristics with an application to the VRPTW. Int. Trans. Oper. Res. 27(1): 168-196 (2020) - [c41]Gert Janssenswillen, Benoît Depaire
Enhancing Discovered Process Models Using Bayesian Inference and MCMC. Business Process Management Workshops 2020: 295-307 - [c40]Gert Janssenswillen, Felix Mannhardt, Mathijs Creemers, Benoît Depaire, Mieke Jans, Leen Jooken, Niels Martin, Greg Van Houdt:
Extensions to the bupaR Ecosystem: An Overview. ICPM Doctoral Consortium / Tools 2020: 43-46 - [c39]Greg Van Houdt
Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study. ICPM Workshops 2020: 82-93 - [c38]Manal Laghmouch
Classifying process deviations with weak supervision. ICPM 2020: 89-96 - [c37]Gerhardus van Hulzen
The Need for Interactive Data-Driven Process Simulation in Healthcare: A Case Study. ICPM Workshops 2020: 317-329 - [e2]Claudio Di Ciccio, Benoît Depaire, Jochen De Weerdt, Chiara Di Francescomarino, Jorge Munoz-Gama:
Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), Padua, Italy, October 4-9, 2020. CEUR Workshop Proceedings 2703, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j13]Toon Jouck, Benoît Depaire:
Generating Artificial Data for Empirical Analysis of Control-flow Discovery Algorithms - A Process Tree and Log Generator. Bus. Inf. Syst. Eng. 61(6): 695-712 (2019) - [j12]Gert Janssenswillen, Benoît Depaire:
Towards Confirmatory Process Discovery: Making Assertions About the Underlying System. Bus. Inf. Syst. Eng. 61(6): 713-728 (2019) - [j11]Jeroen Corstjens
A combined approach for analysing heuristic algorithms. J. Heuristics 25(4-5): 591-628 (2019) - [j10]Gert Janssenswillen, Benoît Depaire
bupaR: Enabling reproducible business process analysis. Knowl. Based Syst. 163: 927-930 (2019) - [c36]Gonzalo Nápoles, Greg Van Houdt
Fuzzy Cognitive Maps: A Business Intelligence Discussion. KES-IDT (1) 2019: 89-98 - [e1]Benoît Depaire, Johannes De Smedt, Marlon Dumas, Dirk Fahland, Akhil Kumar, Henrik Leopold, Manfred Reichert, Stefanie Rinderle-Ma, Stefan Schulte, Stefan Seidel, Wil M. P. van der Aalst:
Proceedings of the Dissertation Award, Doctoral Consortium, and Demonstration Track at BPM 2019 co-located with 17th International Conference on Business Process Management, BPM 2019, Vienna, Austria, September 1-6, 2019. CEUR Workshop Proceedings 2420, CEUR-WS.org 2019 [contents] - [r1]Benoît Depaire, Niels Martin
Data-Driven Process Simulation. Encyclopedia of Big Data Technologies 2019 - 2018
- [j9]Gert Janssenswillen, Benoît Depaire
Detecting train reroutings with process mining. EURO J. Transp. Logist. 7(1): 1-24 (2018) - [c35]Toon Jouck, Massimiliano de Leoni
A Framework to Evaluate and Compare Decision-Mining Techniques. Business Process Management Workshops 2018: 482-493 - [c34]Jonas Lieben, Toon Jouck, Benoît Depaire, Mieke Jans
An Improved Way for Measuring Simplicity During Process Discovery. EOMAS@CAiSE 2018: 49-62 - [c33]Jeroen Corstjens
Explaining Heuristic Performance Differences for Vehicle Routing Problems with Time windows. LION 2018: 159-174 - [c32]Niels Martin
A synthesized method for Conducting a Business Process simulation Study. WSC 2018: 276-290 - [i1]Toon Jouck, Alfredo Bolt, Benoît Depaire, Massimiliano de Leoni, Wil M. P. van der Aalst:
An Integrated Framework for Process Discovery Algorithm Evaluation. CoRR abs/1806.07222 (2018) - 2017
- [j8]Niels Martin
Retrieving batch organisation of work insights from event logs. Decis. Support Syst. 100: 119-128 (2017) - [j7]Gert Janssenswillen, Niels Donders, Toon Jouck, Benoît Depaire
A comparative study of existing quality measures for process discovery. Inf. Syst. 71: 1-15 (2017) - [c31]Gert Janssenswillen, Benoît Depaire:
bupaR: Business Process Analysis in R. BPM (Demos) 2017 - 2016
- [j6]Niels Martin
The Use of Process Mining in Business Process Simulation Model Construction - Structuring the Field. Bus. Inf. Syst. Eng. 58(1): 73-87 (2016) - [c30]Gert Janssenswillen, Benoît Depaire, Toon Jouck:
Calculating the Number of Unique Paths in a Block-Structured Process Model. ATAED@Petri Nets/ACSD 2016: 138-152 - [c29]Toon Jouck, Benoît Depaire:
PTandLogGenerator: A Generator for Artificial Event Data. BPM (Demos) 2016: 23-27 - [c28]Gert Janssenswillen, Toon Jouck, Mathijs Creemers, Benoît Depaire
Measuring the Quality of Models with Respect to the Underlying System: An Empirical Study. BPM 2016: 73-89 - [c27]Niels Martin
Retrieving Resource Availability Insights from Event Logs. EDOC 2016: 1-10 - [c26]Teun van Gils
Improving Order Picking Efficiency by Analyzing Combinations of Storage, Batching, Zoning, and Routing Policies. ICCL 2016: 427-442 - [c25]Marijke Swennen, Niels Martin, Gert Janssenswillen, Mieke Jans, Benoît Depaire, An Caris, Koen Vanhoof:
Capturing Resource Behaviour From Event Logs. SIMPDA 2016: 130-134 - 2015
- [c24]Niels Martin
Using Event Logs to Model Interarrival Times in Business Process Simulation. Business Process Management Workshops 2015: 255-267 - [c23]Niels Martin, Marijke Swennen, Benoît Depaire, Mieke Jans, An Caris, Koen Vanhoof:
Batch Processing: Definition and Event Log Identification. SIMPDA 2015: 137-140 - [c22]Marijke Swennen, Gert Janssenswillen, Mieke Jans, Benoît Depaire, Koen Vanhoof:
Capturing Process Behavior with Log-Based Process Metrics. SIMPDA 2015: 141-144 - [c21]Gert Janssenswillen, Marijke Swennen, Benoît Depaire, Mieke Jans:
Enabling Event-data Analysis in R - Demonstration. SIMPDA 2015: 189-198 - [c20]Niels Martin
Using process mining to model interarrival times: investigating the sensitivity of the arpra framework. WSC 2015: 868-879 - 2014
- [j5]Maikel León
Learning and clustering of fuzzy cognitive maps for travel behaviour analysis. Knowl. Inf. Syst. 39(2): 435-462 (2014) - [c19]Benoît Depaire
Process Model Realism: Measuring Implicit Realism. Business Process Management Workshops 2014: 342-352 - [c18]Niels Martin
The use of process mining in a business process simulation context: Overview and challenges. CIDM 2014: 381-388 - [c17]Marijke Swennen, Benoît Depaire, Koen Vanhoof
Towards a General Framework for Business Tests. ICEIS (3) 2014: 478-483 - [c16]Toon Jouck, Marijke Swennen, Benoît Depaire:
A Methodology for Generating Artificial Event Logs to Compare Process Discovery Techniques. SIMPDA 2014: 174-178 - [c15]Niels Martin, Benoît Depaire, An Caris:
Event log knowledge as a complementary simulation model construction input. SIMULTECH 2014: 456-462 - 2013
- [j4]Maikel León
Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps. Int. J. Comput. Intell. Syst. 6(6): 1012-1039 (2013) - [c14]Maikel León
Fuzzy Cognitive Maps with Rough Concepts. AIAI 2013: 527-536 - 2012
- [j3]Benoît Depaire
A decision support tool for evaluating customer intentions. Expert Syst. Appl. 39(8): 6903-6910 (2012) - [c13]Benoît Depaire
A Process Deviation Analysis Framework. Business Process Management Workshops 2012: 701-706 - [c12]Maikel León
Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling. ICANN (1) 2012: 718-725 - [c11]Lusine Mkrtchyan, Maikel León
Clustering of Fuzzy Cognitive Maps for Travel Behavior Analysis. IS-MiS 2012: 57-66 - 2011
- [j2]Diana Kusumastuti
An interactive computer-based interface to support the discovery of individuals' mental representations and preferences in decisions problems: An application to travel behavior. Comput. Hum. Behav. 27(2): 997-1011 (2011) - [j1]Benoît Depaire
PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments. Intell. Data Anal. 15(1): 49-68 (2011) - [c10]Jo Swinnen, Benoît Depaire, Mieke J. Jans
A Process Deviation Analysis - A Case Study. Business Process Management Workshops (1) 2011: 87-98 - [c9]Nour Damer
Making Compliance Measures Actionable: A New Compliance Analysis Approach. Business Process Management Workshops (1) 2011: 159-164 - [c8]Mieke Jans
Does Process Mining Add to Internal Auditing? An Experience Report. BMMDS/EMMSAD 2011: 31-45 - 2010
- [c7]Krassimira Ivanova
Features for Art Painting Classification Based on Vector Quantization of MPEG-7 Descriptors. ICDEM 2010: 146-153 - [c6]Benoît Depaire
A Decision Support Tool for Evaluating Loyalty and Word-of-Mouth Using Model-Based Knowledge Discovery. IEA/AIE (1) 2010: 691-700 - [c5]Koen Vanhoof
Structure of association rule classifiers: a review. ISKE 2010: 9-12
2000 – 2009
- 2009
- [c4]George Nicola Sammour, Benoît Depaire, Koen Vanhoof, Geert Wets:
Identiying Homogenous Customer Segments for Low Risk Email Marketing Experiments. ICEIS (4) 2009: 89-94 - 2008
- [c3]Benoît Depaire
ARUBAS: An Association Rule Based Similarity Framework for Associative Classifiers. ICDM Workshops 2008: 692-699 - [c2]Rafael Falcón, Benoît Depaire
Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering. ISDA (3) 2008: 652-657 - 2007
- [c1]Kris Brijs, Benoît Depaire, Koen Vanhoof, Tom Brijs, Geert Wets:
The Importance of Aggregation Operator Characteristics in Marketing Research. ICEIS (2) 2007: 237-246
Coauthor Index
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last updated on 2024-11-19 20:45 CET by the dblp team
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