Sander J. J. Leemans

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 64

Top Topics

Stochastic Process

Top Venues

Publications

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
An Interdisciplinary Survey on Information Flows in Supply Chains. ACM Comput. Surv. 56 (2) (2024)
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
An Interdisciplinary Survey on Information Flows in Supply Chains. CoRR (2024)
Sander J. J. Leemans, Tian Li, Marco Montali, Artem Polyvyanyy
Stochastic Process Discovery: Can It Be Done Optimally? CAiSE (2024)
Adam T. Burke, Sander J. J. Leemans, Moe Thandar Wynn, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede
A chance for models to show their quality: Stochastic process model-log dimensions. Inf. Syst. 124 (2024)
Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali
Enjoy the silence: Analysis of stochastic Petri nets with silent transitions. Inf. Syst. 124 (2024)
Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali
Enjoy the Silence: Analysis of Stochastic Petri Nets with Silent Transitions. CoRR (2023)
Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali
Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract). IJCAI (2023)
Azumah Mamudu, Wasana Bandara, Sander J. J. Leemans, Moe Thandar Wynn
A process mining impacts framework. Bus. Process. Manag. J. 29 (3) (2023)
Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans
An Approximate Inductive Miner. ICPM (2023)
Sander J. J. Leemans, Andrew Partington, Jonathan Karnon, Moe Thandar Wynn
Process mining for healthcare decision analytics with micro-costing estimations. Artif. Intell. Medicine 135 (2023)
Felix Mannhardt, Sander J. J. Leemans, Christopher T. Schwanen, Massimiliano de Leoni
Modelling Data-Aware Stochastic Processes - Discovery and Conformance Checking. Petri Nets (2023)
Tabib Ibne Mazhar, Asad Tariq, Sander J. J. Leemans, Kanika Goel, Moe Thandar Wynn, Andrew Staib
Stochastic-Aware Comparative Process Mining in Healthcare. BPM (2023)
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
Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital. HICSS (2023)
Sander J. J. Leemans, James M. McGree, Artem Polyvyanyy, Arthur H. M. ter Hofstede
Statistical Tests and Association Measures for Business Processes. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Adam T. Burke, Sander J. J. Leemans, Moe Thandar Wynn, Cameron D. Campbell
State Snapshot Process Discovery on Career Paths of Qing Dynasty Civil Servants. ICPM (2023)
Sander J. J. Leemans, Lisa Luise Mannel, Natalia Sidorova
Significant stochastic dependencies in process models. Inf. Syst. 118 (2023)
Massimiliano de Leoni, Francesco Vinci, Sander J. J. Leemans, Felix Mannhardt
Investigating the Influence of Data-Aware Process States on Activity Probabilities in Simulation Models: Does Accuracy Improve? BPM (2023)
Sander J. J. Leemans, Sebastiaan J. van Zelst, Xixi Lu
Partial-order-based process mining: a survey and outlook. Knowl. Inf. Syst. 65 (1) (2023)
Sander J. J. Leemans, Artem Polyvyanyy
Stochastic-aware precision and recall measures for conformance checking in process mining. Inf. Syst. 115 (2023)
Sander J. J. Leemans, Niek Tax
Causal Reasoning over Control-Flow Decisions in Process Models. CAiSE (2022)
Tobias Fehrer, Dominik Andreas Fischer, Sander J. J. Leemans, Maximilian Röglinger, Moe Thandar Wynn
A Tool for Assisted Business Process Redesign. BPM (PhD/Demos) (2022)
Simon, Meena Jha, Sander J. J. Leemans, Regina Berretta, Ayse Aysin Bilgin, Lakmali Jayarathna, Judy Sheard
Online Assessment and COVID: Opportunities and Challenges. ACE (2022)
Azumah Mamudu, Wasana Bandara, Moe Thandar Wynn, Sander J. J. Leemans
A Process Mining Success Factors Model. BPM (2022)
Adam Burke, Sander J. J. Leemans, Moe Thandar Wynn, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede
Stochastic Process Model-Log Quality Dimensions: An Experimental Study. ICPM (2022)
Tobias Fehrer, Dominik Andreas Fischer, Sander J. J. Leemans, Maximilian Röglinger, Moe Thandar Wynn
An assisted approach to business process redesign. Decis. Support Syst. 156 (2022)
Sander J. J. Leemans
FilterTree: a Repeatable Branching XES Editor (Extended Abstract). ICPM Doctoral Consortium / Demo (2022)
Sander J. J. Leemans
Language-Preserving Reduction Rules for Block-Structured Workflow Nets. CoRR (2022)
Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali
Reasoning on Labelled Petri Nets and Their Dynamics in a Stochastic Setting. BPM (2022)
Benoît Depaire, Gert Janssenswillen, Sander J. J. Leemans
Alpha Precision: Estimating the Significant System Behavior in a Model. BPM (Forum) (2022)
Sander J. J. Leemans
Leveraging Frequencies in Event Data a Pledge for Stochastic Process Mining. ATAED@Petri Nets (2022)
Adam Banham, Sander J. J. Leemans, Moe Thandar Wynn, Robert Andrews, Kevin B. Laupland, Lucy Shinners
xPM: Enhancing exogenous data visibility. Artif. Intell. Medicine 133 (2022)
Kanika Goel, Sander J. J. Leemans, Niels Martin, Moe Thandar Wynn
Quality-Informed Process Mining: A Case for Standardised Data Quality Annotations. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Kanika Goel, Sander J. J. Leemans, Moe Thandar Wynn, Arthur H. M. ter Hofstede, Janne Barnes
Improving PhD Student Journeys: Insights from an Australian Higher Education Institution. BPM Industry Forum (2021)
Rebekah Eden, Rehan Syed, Sander J. J. Leemans, Joos A. C. M. Buijs
A Case Study of Inconsistency in Process Mining Use: Implications for the Theory of Effective Use. BPM (2021)
Adam Banham, Sander J. J. Leemans, Moe Thandar Wynn, Robert Andrews
xPM: A Framework for Process Mining with Exogenous Data. ICPM Workshops (2021)
Adam Burke, Sander J. J. Leemans, Moe Thandar Wynn
Discovering Stochastic Process Models by Reduction and Abstraction. Petri Nets (2021)
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
Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study. Bus. Inf. Syst. Eng. 63 (5) (2021)
Adriano Augusto, Marlon Dumas, Marcello La Rosa, Sander J. J. Leemans, Seppe K. L. M. vanden Broucke
Optimization framework for DFG-based automated process discovery approaches. Softw. Syst. Model. 20 (4) (2021)
Sander J. J. Leemans, Wil M. P. van der Aalst, Tobias Brockhoff, Artem Polyvyanyy
Stochastic process mining: Earth movers' stochastic conformance. Inf. Syst. 102 (2021)
Rehan Syed, Sander J. J. Leemans, Rebekah Eden, Joos A. C. M. Buijs
Process Mining Adoption - A Technology Continuity Versus Discontinuity Perspective. BPM (Forum) (2020)
Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna A. Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining. ICPM Doctoral Consortium / Tools (2020)
Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia W. Sadiq, Moe Thandar Wynn
Identifying Cohorts that Differ in their Behaviour: Tool Support. ER Forum/Posters/Demos (2020)
Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna A. Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining. CoRR (2020)
Wasana Bandara, Mythreyi Velmurugan, Sander J. J. Leemans
Building 'holistic' Business process modelling skills for IS graduates. ICIS (2020)
Adam Burke, Sander J. J. Leemans, Moe Thandar Wynn
Stochastic Process Discovery by Weight Estimation. ICPM Workshops (2020)
Sander J. J. Leemans, Artem Polyvyanyy
Stochastic-Aware Conformance Checking: An Entropy-Based Approach. CAiSE (2020)
Sander J. J. Leemans, Dirk Fahland
Information-preserving abstractions of event data in process mining. Knowl. Inf. Syst. 62 (3) (2020)
Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia W. Sadiq, Moe Thandar Wynn
Identifying Cohorts: Recommending Drill-Downs Based on Differences in Behaviour for Process Mining. ER (2020)
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
Robotic Process Automation: Contemporary themes and challenges. Comput. Ind. 115 (2020)
Alifah Syamsiyah, Sander J. J. Leemans
Process discovery using in-database minimum self distance abstractions. SAC (2020)
Sander J. J. Leemans, Kanika Goel, Sebastiaan J. van Zelst
Using Multi-Level Information in Hierarchical Process Mining: Balancing Behavioural Quality and Model Complexity. ICPM (2020)
Andreas Egger, Arthur H. M. ter Hofstede, Wolfgang Kratsch, Sander J. J. Leemans, Maximilian Röglinger, Moe Thandar Wynn
Bot Log Mining: Using Logs from Robotic Process Automation for Process Mining. ER (2020)
Alireza Ostovar, Sander J. J. Leemans, Marcello La Rosa
Robust Drift Characterization from Event Streams of Business Processes. ACM Trans. Knowl. Discov. Data 14 (3) (2020)
Sebastiaan J. van Zelst, Sander J. J. Leemans
Translating Workflow Nets to Process Trees: An Algorithmic Approach. Algorithms 13 (11) (2020)
Shiva Shabaninejad, Hassan Khosravi, Sander J. J. Leemans, Shazia W. Sadiq, Marta Indulska
Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards. AIED (1) (2020)
Sander J. J. Leemans, Erik Poppe, Moe Thandar Wynn
Directly Follows-Based Process Mining: Exploration & a Case Study. ICPM (2019)
Sander J. J. Leemans, Anja F. Syring, Wil M. P. van der Aalst
Earth Movers' Stochastic Conformance Checking. BPM Forum (2019)
Sander J. J. Leemans
Robust Process Mining with Guarantees. BPM (Dissertation/Demos/Industry) (2018)
Sander J. J. Leemans, Niek Tax, Arthur H. M. ter Hofstede
Indulpet Miner: Combining Discovery Algorithms. OTM Conferences (1) (2018)
Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst
Scalable process discovery and conformance checking. Softw. Syst. Model. 17 (2) (2018)
Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst
Scalable Process Discovery with Guarantees. BMMDS/EMMSAD (2015)
Arik Senderovich, Sander J. J. Leemans, Shahar Harel, Avigdor Gal, Avishai Mandelbaum, Wil M. P. van der Aalst
Discovering Queues from Event Logs with Varying Levels of Information. Business Process Management Workshops (2015)
Maikel L. van Eck, Xixi Lu, Sander J. J. Leemans, Wil M. P. van der Aalst
PM ^2 : A Process Mining Project Methodology. CAiSE (2015)
Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst
Using Life Cycle Information in Process Discovery. Business Process Management Workshops (2015)
Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst
Process and Deviation Exploration with Inductive Visual Miner. BPM (Demos) (2014)
Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst
Exploring Processes and Deviations. Business Process Management Workshops (2014)
Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst
Discovering Block-Structured Process Models from Incomplete Event Logs. Petri Nets (2014)
Sander J. J. Leemans
Process Discovery and Exploration. Business Process Management Workshops (2014)
Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst
Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour. Business Process Management Workshops (2013)
Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst
Discovering Block-Structured Process Models from Event Logs - A Constructive Approach. Petri Nets (2013)
Yi-Ling Hwong, Jeroen J. A. Keiren, Vincent J. J. Kusters, Sander J. J. Leemans, Tim A. C. Willemse
Formalising and analysing the control software of the Compact Muon Solenoid Experiment at the Large Hadron Collider. Sci. Comput. Program. 78 (12) (2013)