Sander J. J. Leemans

According to our database, Sander J. J. Leemans authored at least 76 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An Interdisciplinary Survey on Information Flows in Supply Chains.

Jan Pennekamp, Roman Matzutt, Christopher Klinkmüller, Lennart Bader, Martin Serror, Eric Wagner, Sidra Malik, Maria Spiß, Jessica Rahn, Tan Gürpinar, Eduard Vlad, Sander J. J. Leemans, Salil S. Kanhere, Volker Stich, Klaus Wehrle

ACM Comput. Surv., February, 2024

Enjoy the silence: Analysis of stochastic Petri nets with silent transitions.

Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali

Inf. Syst., 2024

Bot log mining: An approach to the integrated analysis of Robotic Process Automation and process mining.

Andreas Egger, Arthur H. M. ter Hofstede, Wolfgang Kratsch, Sander J. J. Leemans, Maximilian Röglinger, Moe Thandar Wynn

Inf. Syst., 2024

A chance for models to show their quality: Stochastic process model-log dimensions.

Adam T. Burke, Sander J. J. Leemans, Moe Thandar Wynn, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede

Inf. Syst., 2024

Comparing Conformance Checking for Decision Mining: An Axiomatic Approach.

Adam Banham, Arthur H. M. ter Hofstede, Sander J. J. Leemans, Felix Mannhardt, Robert Andrews, Moe Thandar Wynn

IEEE Access, 2024

Stochastic Conformance Checking Based on Expected Subtrace Frequency.

Eduardo Goulart Rocha, Sander J. J. Leemans, Wil M. P. van der Aalst

Proceedings of the 6th International Conference on Process Mining, 2024

Ebi - a Stochastic Process Mining Framework.

Sander J. J. Leemans, Tian Li, Jan Niklas van Detten

Proceedings of the Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024), 2024

Discovering Compact, Live and Identifier-Sound Object-Centric Process Models.

Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans

Proceedings of the 6th International Conference on Process Mining, 2024

Stochastic Process Discovery: Can It Be Done Optimally?

Sander J. J. Leemans, Tian Li, Marco Montali, Artem Polyvyanyy

Proceedings of the Advanced Information Systems Engineering, 2024

Object Synchronizations and Specializations with Silent Objects in Object-Centric Petri Nets.

Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans

Proceedings of the Business Process Management - 22nd International Conference, 2024

2023

Significant stochastic dependencies in process models.

Sander J. J. Leemans, Lisa Luise Mannel, Natalia Sidorova

Inf. Syst., September, 2023

Statistical Tests and Association Measures for Business Processes.

Sander J. J. Leemans, James M. McGree, Artem Polyvyanyy, Arthur H. M. ter Hofstede

IEEE Trans. Knowl. Data Eng., July, 2023

Stochastic-aware precision and recall measures for conformance checking in process mining.

Sander J. J. Leemans, Artem Polyvyanyy

Inf. Syst., May, 2023

Partial-order-based process mining: a survey and outlook.

Sander J. J. Leemans, Sebastiaan J. van Zelst, Xixi Lu

Knowl. Inf. Syst., January, 2023

Process mining for healthcare decision analytics with micro-costing estimations.

Sander J. J. Leemans, Andrew Partington, Jonathan Karnon, Moe Thandar Wynn

Artif. Intell. Medicine, January, 2023

A process mining impacts framework.

Azumah Mamudu, Wasana Bandara, Sander J. J. Leemans, Moe Thandar Wynn

Bus. Process. Manag. J., 2023

Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract).

Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

An Approximate Inductive Miner.

Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans

Proceedings of the 5th International Conference on Process Mining, 2023

State Snapshot Process Discovery on Career Paths of Qing Dynasty Civil Servants.

Adam T. Burke, Sander J. J. Leemans, Moe Thandar Wynn, Cameron D. Campbell

Proceedings of the 5th International Conference on Process Mining, 2023

Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital.

Kanika Goel, Sareh Sadeghianasl, Robert Andrews, Arthur H. M. ter Hofstede, Moe Wynn, Dakshi Kapugama Geeganage, Sander J. J. Leemans, James M. McGree, Rebekah Eden, Andrew Staib, Rob Eley, Raelene Donovan

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Stochastic-Aware Comparative Process Mining in Healthcare.

Tabib Ibne Mazhar, Asad Tariq, Sander J. J. Leemans, Kanika Goel, Moe Thandar Wynn, Andrew Staib

Proceedings of the Business Process Management - 21st International Conference, 2023

Investigating the Influence of Data-Aware Process States on Activity Probabilities in Simulation Models: Does Accuracy Improve?

Massimiliano de Leoni, Francesco Vinci, Sander J. J. Leemans, Felix Mannhardt

Proceedings of the Business Process Management - 21st International Conference, 2023

Modelling Data-Aware Stochastic Processes - Discovery and Conformance Checking.

Felix Mannhardt, Sander J. J. Leemans, Christopher T. Schwanen, Massimiliano de Leoni

Proceedings of the Application and Theory of Petri Nets and Concurrency, 2023

2022

Robust Process Mining with Guarantees - Process Discovery, Conformance Checking and Enhancement

Sander J. J. Leemans

Lecture Notes in Business Information Processing 440, Springer, ISBN: 978-3-030-96654-6, 2022

Quality-Informed Process Mining: A Case for Standardised Data Quality Annotations.

Kanika Goel, Sander J. J. Leemans, Niels Martin, Moe Thandar Wynn

ACM Trans. Knowl. Discov. Data, 2022

An assisted approach to business process redesign.

Tobias Fehrer, Dominik Andreas Fischer, Sander J. J. Leemans, Maximilian Röglinger, Moe Thandar Wynn

Decis. Support Syst., 2022

Language-Preserving Reduction Rules for Block-Structured Workflow Nets.

Sander J. J. Leemans

CoRR, 2022

xPM: Enhancing exogenous data visibility.

Adam Banham, Sander J. J. Leemans, Moe Thandar Wynn, Robert Andrews, Kevin B. Laupland, Lucy Shinners

Artif. Intell. Medicine, 2022

FilterTree: a Repeatable Branching XES Editor (Extended Abstract).

Sander J. J. Leemans

Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), 2022

Stochastic Process Model-Log Quality Dimensions: An Experimental Study.

Adam T. Burke, Sander J. J. Leemans, Moe Thandar Wynn, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede

Proceedings of the 4th International Conference on Process Mining, 2022

Causal Reasoning over Control-Flow Decisions in Process Models.

Sander J. J. Leemans, Niek Tax

Proceedings of the Advanced Information Systems Engineering, 2022

A Process Mining Success Factors Model.

Azumah Mamudu, Wasana Bandara, Moe Thandar Wynn, Sander J. J. Leemans

Proceedings of the Business Process Management - 20th International Conference, 2022

Reasoning on Labelled Petri Nets and Their Dynamics in a Stochastic Setting.

Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali

Proceedings of the Business Process Management - 20th International Conference, 2022

A Tool for Assisted Business Process Redesign.

Tobias Fehrer, Dominik Andreas Fischer, Sander J. J. Leemans, Maximilian Röglinger, Moe Thandar Wynn

Proceedings of the Best Dissertation Award, 2022

Alpha Precision: Estimating the Significant System Behavior in a Model.

Benoît Depaire, Gert Janssenswillen, Sander J. J. Leemans

Proceedings of the Business Process Management Forum, 2022

Leveraging Frequencies in Event Data a Pledge for Stochastic Process Mining.

Sander J. J. Leemans

Proceedings of the Workshop on Algorithms & Theories for the Analysis of Event Data co-located with the 43rd International Conference on Application and Theory of Petri Nets and Concurrency (Petri Nets 2022), 2022

Online Assessment and COVID: Opportunities and Challenges.

Simon, Meena Jha, Sander J. J. Leemans, Regina Berretta, Ayse Aysin Bilgin, Lakmali Jayarathna, Judy Sheard

Proceedings of the ACE '22: Australasian Computing Education Conference, Virtual Event, Australia, February 14, 2022

2021

Optimization framework for DFG-based automated process discovery approaches.

Adriano Augusto, Marlon Dumas, Marcello La Rosa, Sander J. J. Leemans, Seppe K. L. M. vanden Broucke

Softw. Syst. Model., 2021

Stochastic process mining: Earth movers' stochastic conformance.

Sander J. J. Leemans, Wil M. P. van der Aalst, Tobias Brockhoff, Artem Polyvyanyy

Inf. Syst., 2021

Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study.

Niels Martin, Dominik Andreas Fischer, Georgi Dimov Kerpedzhiev, Kanika Goel, Sander J. J. Leemans, Maximilian Röglinger, Wil M. P. van der Aalst, Marlon Dumas, Marcello La Rosa, Moe Thandar Wynn

Bus. Inf. Syst. Eng., 2021

xPM: A Framework for Process Mining with Exogenous Data.

Adam Banham, Sander J. J. Leemans, Moe Thandar Wynn, Robert Andrews

Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

A Case Study of Inconsistency in Process Mining Use: Implications for the Theory of Effective Use.

Rebekah Eden, Rehan Syed, Sander J. J. Leemans, Joos A. C. M. Buijs

Proceedings of the Business Process Management - 19th International Conference, 2021

Improving PhD Student Journeys: Insights from an Australian Higher Education Institution.

Kanika Goel, Sander J. J. Leemans, Moe Thandar Wynn, Arthur H. M. ter Hofstede, Janne Barnes

Proceedings of the Industry Forum at BPM 2021 co-located with 19th International Conference on Business Process Management (BPM 2021), 2021

Discovering Stochastic Process Models by Reduction and Abstraction.

Adam Burke, Sander J. J. Leemans, Moe Thandar Wynn

Proceedings of the Application and Theory of Petri Nets and Concurrency, 2021

2020

Robust Drift Characterization from Event Streams of Business Processes.

Alireza Ostovar, Sander J. J. Leemans, Marcello La Rosa

ACM Trans. Knowl. Discov. Data, 2020

Information-preserving abstractions of event data in process mining.

Sander J. J. Leemans, Dirk Fahland

Knowl. Inf. Syst., 2020

Robotic Process Automation: Contemporary themes and challenges.

Rehan Syed, Suriadi Suriadi, Michael Adams, Wasana Bandara, Sander J. J. Leemans, Chun Ouyang, Arthur H. M. ter Hofstede, Inge van de Weerd, Moe Thandar Wynn, Hajo A. Reijers

Comput. Ind., 2020

Translating Workflow Nets to Process Trees: An Algorithmic Approach.

Sebastiaan J. van Zelst, Sander J. J. Leemans

Algorithms, 2020

Process discovery using in-database minimum self distance abstractions.

Alifah Syamsiyah, Sander J. J. Leemans

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining.

Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna A. Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich

Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), 2020

Using Multi-Level Information in Hierarchical Process Mining: Balancing Behavioural Quality and Model Complexity.

Sander J. J. Leemans, Kanika Goel, Sebastiaan J. van Zelst

Proceedings of the 2nd International Conference on Process Mining, 2020

Stochastic Process Discovery by Weight Estimation.

Adam Burke, Sander J. J. Leemans, Moe Thandar Wynn

Proceedings of the Process Mining Workshops, 2020

Building 'holistic' Business process modelling skills for IS graduates.

Wasana Bandara, Mythreyi Velmurugan, Sander J. J. Leemans

Proceedings of the 41st International Conference on Information Systems, 2020

Identifying Cohorts that Differ in their Behaviour: Tool Support.

Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia W. Sadiq, Moe Thandar Wynn

Proceedings of the ER Forum, 2020

Identifying Cohorts: Recommending Drill-Downs Based on Differences in Behaviour for Process Mining.

Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia W. Sadiq, Moe Thandar Wynn

Proceedings of the Conceptual Modeling - 39th International Conference, 2020

Bot Log Mining: Using Logs from Robotic Process Automation for Process Mining.

Andreas Egger, Arthur H. M. ter Hofstede, Wolfgang Kratsch, Sander J. J. Leemans, Maximilian Röglinger, Moe Thandar Wynn

Proceedings of the Conceptual Modeling - 39th International Conference, 2020

Stochastic-Aware Conformance Checking: An Entropy-Based Approach.

Sander J. J. Leemans, Artem Polyvyanyy

Proceedings of the Advanced Information Systems Engineering, 2020

Process Mining Adoption - A Technology Continuity Versus Discontinuity Perspective.

Rehan Syed, Sander J. J. Leemans, Rebekah Eden, Joos A. C. M. Buijs

Proceedings of the Business Process Management Forum, 2020

Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards.

Shiva Shabaninejad, Hassan Khosravi, Sander J. J. Leemans, Shazia W. Sadiq, Marta Indulska

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Automated Process Discovery.

Sander J. J. Leemans

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Directly Follows-Based Process Mining: Exploration & a Case Study.

Sander J. J. Leemans, Erik Poppe, Moe Thandar Wynn

Proceedings of the International Conference on Process Mining, 2019

Earth Movers' Stochastic Conformance Checking.

Sander J. J. Leemans, Anja F. Syring, Wil M. P. van der Aalst

Proceedings of the Business Process Management Forum, 2019

2018

Scalable process discovery and conformance checking.

Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst

Softw. Syst. Model., 2018

Indulpet Miner: Combining Discovery Algorithms.

Sander J. J. Leemans, Niek Tax, Arthur H. M. ter Hofstede

Proceedings of the On the Move to Meaningful Internet Systems. OTM 2018 Conferences, 2018

Robust Process Mining with Guarantees.

Sander J. J. Leemans

Proceedings of the Dissertation Award, 2018

2015

Scalable Process Discovery with Guarantees.

Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2015

PM ^2 : A Process Mining Project Methodology.

Maikel L. van Eck, Xixi Lu, Sander J. J. Leemans, Wil M. P. van der Aalst

Proceedings of the Advanced Information Systems Engineering, 2015

Discovering Queues from Event Logs with Varying Levels of Information.

Arik Senderovich, Sander J. J. Leemans, Shahar Harel, Avigdor Gal, Avishai Mandelbaum, Wil M. P. van der Aalst

Proceedings of the Business Process Management Workshops - BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31, 2015

Using Life Cycle Information in Process Discovery.

Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst

Proceedings of the Business Process Management Workshops - BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31, 2015

2014

Exploring Processes and Deviations.

Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst

Proceedings of the Business Process Management Workshops, 2014

Process and Deviation Exploration with Inductive Visual Miner.

Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst

Proceedings of the BPM Demo Sessions 2014 Co-located with the 12th International Conference on Business Process Management (BPM 2014), 2014

Process Discovery and Exploration.

Sander J. J. Leemans

Proceedings of the Business Process Management Workshops, 2014

Discovering Block-Structured Process Models from Incomplete Event Logs.

Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst

Proceedings of the Application and Theory of Petri Nets and Concurrency, 2014

2013

Formalising and analysing the control software of the Compact Muon Solenoid Experiment at the Large Hadron Collider.

Yi-Ling Hwong, Jeroen J. A. Keiren, Vincent J. J. Kusters, Sander J. J. Leemans, Tim A. C. Willemse

Sci. Comput. Program., 2013

Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour.

Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst

Proceedings of the Business Process Management Workshops, 2013

Discovering Block-Structured Process Models from Event Logs - A Constructive Approach.

Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst

Proceedings of the Application and Theory of Petri Nets and Concurrency, 2013