Benoît Depaire

Orcid: 0000-0003-4735-0609

Affiliations:
  • Hasselt University, Belgium


According to our database1, Benoît Depaire authored at least 75 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
An empirical evaluation of unsupervised event log abstraction techniques in process mining.
Inf. Syst., March, 2024

2023
AITIA-PM: Discovering the true causes of events in a process mining context.
Eng. Appl. Artif. Intell., November, 2023

The biggest business process management problems to solve before we die.
Comput. Ind., April, 2023

A Rational Risk Policy? Why Path Dependence Matters.
Entropy, February, 2023

Methodology of Algorithm Engineering.
CoRR, 2023

Declare MoGeS: Model Generator and Specializer.
Proceedings of the Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), 2023

2022
Supporting capacity management decisions in healthcare using data-driven process simulation.
J. Biomed. Informatics, 2022

Mining context-aware resource profiles in the presence of multitasking.
Artif. Intell. Medicine, 2022

Process Analysis with bupaR 0.5.0: What's New? (Extended Abstract).
Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), 2022

Mining Valuable Collaborations from Event Data Using the Recency-Frequency-Monetary Principle.
Proceedings of the Advanced Information Systems Engineering, 2022

bupaRflow: A Workflow Interface for bupaR.
Proceedings of the Best Dissertation Award, 2022

Alpha Precision: Estimating the Significant System Behavior in a Model.
Proceedings of the Business Process Management Forum, 2022

2021
Mining Batch Activation Rules from Event Logs.
IEEE Trans. Serv. Comput., 2021

Conformance Checking in Process Mining.
Inf. Syst., 2021

Theory and Practice of Algorithm Engineering.
CoRR, 2021

Root Cause Analysis in Process Mining with Probabilistic Temporal Logic.
Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

Looking Beyond Activity Labels: Mining Context-Aware Resource Profiles Using Activity Instance Archetypes.
Proceedings of the Business Process Management Forum, 2021

2020
A multilevel evaluation method for heuristics with an application to the VRPTW.
Int. Trans. Oper. Res., 2020

Retrieving the resource availability calendars of a process from an event log.
Inf. Syst., 2020

Classifying process deviations with weak supervision.
Proceedings of the 2nd International Conference on Process Mining, 2020

Extensions to the bupaR Ecosystem: An Overview.
Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), 2020

The Need for Interactive Data-Driven Process Simulation in Healthcare: A Case Study.
Proceedings of the Process Mining Workshops, 2020

Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study.
Proceedings of the Process Mining Workshops, 2020

Enhancing Discovered Process Models Using Bayesian Inference and MCMC.
Proceedings of the Business Process Management Workshops, 2020

2019
Data-Driven Process Simulation.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

bupaR: Enabling reproducible business process analysis.
Knowl. Based Syst., 2019

A combined approach for analysing heuristic algorithms.
J. Heuristics, 2019

Generating Artificial Data for Empirical Analysis of Control-flow Discovery Algorithms - A Process Tree and Log Generator.
Bus. Inf. Syst. Eng., 2019

Towards Confirmatory Process Discovery: Making Assertions About the Underlying System.
Bus. Inf. Syst. Eng., 2019

Fuzzy Cognitive Maps: A Business Intelligence Discussion.
Proceedings of the Intelligent Decision Technologies 2019, 2019

2018
Detecting train reroutings with process mining.
EURO J. Transp. Logist., 2018

An Integrated Framework for Process Discovery Algorithm Evaluation.
CoRR, 2018

A synthesized method for Conducting a Business Process simulation Study.
Proceedings of the 2018 Winter Simulation Conference, 2018

Explaining Heuristic Performance Differences for Vehicle Routing Problems with Time windows.
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

An Improved Way for Measuring Simplicity During Process Discovery.
Proceedings of the Enterprise and Organizational Modeling and Simulation, 2018

A Framework to Evaluate and Compare Decision-Mining Techniques.
Proceedings of the Business Process Management Workshops, 2018

2017
A comparative study of existing quality measures for process discovery.
Inf. Syst., 2017

Retrieving batch organisation of work insights from event logs.
Decis. Support Syst., 2017

bupaR: Business Process Analysis in R.
Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), 2017

2016
The Use of Process Mining in Business Process Simulation Model Construction - Structuring the Field.
Bus. Inf. Syst. Eng., 2016

Capturing Resource Behaviour From Event Logs.
Proceedings of the 6th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2016), 2016

Improving Order Picking Efficiency by Analyzing Combinations of Storage, Batching, Zoning, and Routing Policies.
Proceedings of the Computational Logistics - 7th International Conference, 2016

Retrieving Resource Availability Insights from Event Logs.
Proceedings of the 20th IEEE International Enterprise Distributed Object Computing Conference, 2016

PTandLogGenerator: A Generator for Artificial Event Data.
Proceedings of the BPM Demo Track 2016 Co-located with the 14th International Conference on Business Process Management (BPM 2016), 2016

Measuring the Quality of Models with Respect to the Underlying System: An Empirical Study.
Proceedings of the Business Process Management - 14th International Conference, 2016

Calculating the Number of Unique Paths in a Block-Structured Process Model.
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2016 Satellite event of the conferences: 37th International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2016 and 16th International Conference on Application of Concurrency to System Design ACSD 2016, 2016

2015
Using process mining to model interarrival times: investigating the sensitivity of the arpra framework.
Proceedings of the 2015 Winter Simulation Conference, 2015

Capturing Process Behavior with Log-Based Process Metrics.
Proceedings of the 5th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2015), 2015

Batch Processing: Definition and Event Log Identification.
Proceedings of the 5th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2015), 2015

Enabling Event-data Analysis in R - Demonstration.
Proceedings of the 5th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2015), 2015

Using Event Logs to Model Interarrival Times in Business Process Simulation.
Proceedings of the Business Process Management Workshops - BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31, 2015

2014
Learning and clustering of fuzzy cognitive maps for travel behaviour analysis.
Knowl. Inf. Syst., 2014

Event log knowledge as a complementary simulation model construction input.
Proceedings of the 4th International Conference On Simulation And Modeling Methodologies, 2014

A Methodology for Generating Artificial Event Logs to Compare Process Discovery Techniques.
Proceedings of the 4th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2014), 2014

Towards a General Framework for Business Tests.
Proceedings of the ICEIS 2014, 2014

The use of process mining in a business process simulation context: Overview and challenges.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Process Model Realism: Measuring Implicit Realism.
Proceedings of the Business Process Management Workshops, 2014

2013
Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps.
Int. J. Comput. Intell. Syst., 2013

Fuzzy Cognitive Maps with Rough Concepts.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

2012
A decision support tool for evaluating customer intentions.
Expert Syst. Appl., 2012

Clustering of Fuzzy Cognitive Maps for Travel Behavior Analysis.
Proceedings of the Management Intelligent Systems - First International Symposium, 2012

Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

A Process Deviation Analysis Framework.
Proceedings of the Business Process Management Workshops, 2012

2011
PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments.
Intell. Data Anal., 2011

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., 2011

Does Process Mining Add to Internal Auditing? An Experience Report.
Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2011

A Process Deviation Analysis - A Case Study.
Proceedings of the Business Process Management Workshops, 2011

Making Compliance Measures Actionable: A New Compliance Analysis Approach.
Proceedings of the Business Process Management Workshops, 2011

2010
Structure of association rule classifiers: a review.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

A Decision Support Tool for Evaluating Loyalty and Word-of-Mouth Using Model-Based Knowledge Discovery.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Features for Art Painting Classification Based on Vector Quantization of MPEG-7 Descriptors.
Proceedings of the Data Engineering and Management - Second International Conference, 2010

2009
Identiying Homogenous Customer Segments for Low Risk Email Marketing Experiments.
Proceedings of the ICEIS 2009, 2009

2008
Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

ARUBAS: An Association Rule Based Similarity Framework for Associative Classifiers.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
The Importance of Aggregation Operator Characteristics in Marketing Research.
Proceedings of the ICEIS 2007, 2007


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