Discovering Block-Structured Process Models from Event Logs - A Constructive Approach. - Sander J. J. Leemans; Dirk Fahland; Wil M. P. van der Aalst (Petri Nets, 2013)

Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour. - Sander J. J. Leemans; Dirk Fahland; Wil M. P. van der Aalst (Business Process Management Workshops, 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 Incomplete Event Logs. - Sander J. J. Leemans; Dirk Fahland; Wil M. P. van der Aalst (Petri Nets, 2014)

Process Discovery and Exploration. - Sander J. J. Leemans (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 (BPM (Demos), 2014)

Exploring Processes and Deviations. - Sander J. J. Leemans; Dirk Fahland; Wil M. P. van der Aalst (Business Process Management Workshops, 2014)

Using Life Cycle Information in Process Discovery. - Sander J. J. Leemans; Dirk Fahland; Wil M. P. van der Aalst (Business Process Management Workshops, 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 (Business Process Management Workshops, 2015)

PM ^2 : A Process Mining Project Methodology. - Maikel L. van Eck; Xixi Lu 001; Sander J. J. Leemans; Wil M. P. van der Aalst (CAiSE, 2015)

Scalable Process Discovery with Guarantees. - Sander J. J. Leemans; Dirk Fahland; Wil M. P. van der Aalst (BMMDS/EMMSAD, 2015)

Robust Process Mining with Guarantees. - Sander J. J. Leemans (BPM (Dissertation/Demos/Industry), 2018)

Indulpet Miner: Combining Discovery Algorithms. - Sander J. J. Leemans; Niek Tax; Arthur H. M. ter Hofstede (OTM Conferences (1), 2018)

Scalable process discovery and conformance checking. - Sander J. J. Leemans; Dirk Fahland; Wil M. P. van der Aalst (Softw. Syst. Model., 2018)

Earth Movers' Stochastic Conformance Checking. - Sander J. J. Leemans; Anja F. Syring; Wil M. P. van der Aalst (BPM Forum, 2019)

Directly Follows-Based Process Mining: Exploration & a Case Study. - Sander J. J. Leemans; Erik Poppe; Moe Thandar Wynn (ICPM, 2019)

Automated Process Discovery. - Sander J. J. Leemans (Encyclopedia of Big Data Technologies, 2019)

Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards. - Shiva Shabaninejad; Hassan Khosravi; Sander J. J. Leemans; Shazia Sadiq; Marta Indulska (AIED (1), 2020)

Process Mining Adoption - A Technology Continuity Versus Discontinuity Perspective. - Rehan Syed; Sander J. J. Leemans; Rebekah Eden; Joos A. C. M. Buijs (BPM (Forum), 2020)

Stochastic-Aware Conformance Checking: An Entropy-Based Approach. - Sander J. J. Leemans; Artem Polyvyanyy (CAiSE, 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 (ER, 2020)

Identifying Cohorts: Recommending Drill-Downs Based on Differences in Behaviour for Process Mining. - Sander J. J. Leemans; Shiva Shabaninejad; Kanika Goel 002; Hassan Khosravi; Shazia Sadiq; Moe Thandar Wynn (ER, 2020)

Identifying Cohorts that Differ in their Behaviour: Tool Support. - Sander J. J. Leemans; Shiva Shabaninejad; Kanika Goel 002; Hassan Khosravi; Shazia Sadiq; Moe Thandar Wynn (ER Forum/Posters/Demos, 2020)

Building 'holistic' Business process modelling skills for IS graduates. - Wasana Bandara; Mythreyi Velmurugan; Sander J. J. Leemans (ICIS, 2020)

Stochastic Process Discovery by Weight Estimation. - Adam Burke 001; Sander J. J. Leemans; Moe Thandar Wynn (ICPM Workshops, 2020)

Using Multi-Level Information in Hierarchical Process Mining: Balancing Behavioural Quality and Model Complexity. - Sander J. J. Leemans; Kanika Goel 002; Sebastiaan J. van Zelst (ICPM, 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 001 (ICPM Doctoral Consortium / Tools, 2020)

Process discovery using in-database minimum self distance abstractions. - Alifah Syamsiyah; Sander J. J. Leemans (SAC, 2020)

Translating Workflow Nets to Process Trees: An Algorithmic Approach. - Sebastiaan J. van Zelst; Sander J. J. Leemans (Algorithms, 2020)

Robotic Process Automation: Contemporary themes and challenges. - Rehan Syed; Suriadi Suriadi; Michael Adams 001; Wasana Bandara; Sander J. J. Leemans; Chun Ouyang 001; Arthur H. M. ter Hofstede; Inge van de Weerd; Moe Thandar Wynn; Hajo A. Reijers (Comput. Ind., 2020)

Information-preserving abstractions of event data in process mining. - Sander J. J. Leemans; Dirk Fahland (Knowl. Inf. Syst., 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)

Discovering Stochastic Process Models by Reduction and Abstraction. - Adam Burke 001; Sander J. J. Leemans; Moe Thandar Wynn (Petri Nets, 2021)

Improving PhD Student Journeys: Insights from an Australian Higher Education Institution. - Kanika Goel 002; Sander J. J. Leemans; Moe Thandar Wynn; Arthur H. M. ter Hofstede; Janne Barnes (BPM Industry Forum, 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 (BPM, 2021)

xPM: A Framework for Process Mining with Exogenous Data. - Adam Banham; Sander J. J. Leemans; Moe Thandar Wynn; Robert Andrews 001 (ICPM Workshops, 2021)

Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study. - Niels Martin; Dominik Andreas Fischer; Georgi Dimov Kerpedzhiev; Kanika Goel 002; 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)

Stochastic process mining: Earth movers' stochastic conformance. - Sander J. J. Leemans; Wil M. P. van der Aalst; Tobias Brockhoff; Artem Polyvyanyy (Inf. Syst., 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)

Online Assessment and COVID: Opportunities and Challenges. - Simon; Meena Jha; Sander J. J. Leemans; Regina Berretta; Ayse Aysin Bilgin; Lakmali Jayarathna; Judy Sheard (ACE, 2022)

Leveraging Frequencies in Event Data a Pledge for Stochastic Process Mining. - Sander J. J. Leemans (ATAED@Petri Nets, 2022)

Alpha Precision: Estimating the Significant System Behavior in a Model. - Benoît Depaire; Gert Janssenswillen; Sander J. J. Leemans (BPM (Forum), 2022)

A Tool for Assisted Business Process Redesign. - Tobias Fehrer; Dominik Andreas Fischer; Sander J. J. Leemans; Maximilian Röglinger; Moe Thandar Wynn (BPM (PhD/Demos), 2022)

Reasoning on Labelled Petri Nets and Their Dynamics in a Stochastic Setting. - Sander J. J. Leemans; Fabrizio Maria Maggi; Marco Montali (BPM, 2022)

A Process Mining Success Factors Model. - Azumah Mamudu; Wasana Bandara; Moe Thandar Wynn; Sander J. J. Leemans (BPM, 2022)

Causal Reasoning over Control-Flow Decisions in Process Models. - Sander J. J. Leemans; Niek Tax (CAiSE, 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 (ICPM, 2022)

FilterTree: a Repeatable Branching XES Editor (Extended Abstract). - Sander J. J. Leemans (ICPM Doctoral Consortium / Demo, 2022)

xPM: Enhancing exogenous data visibility. - Adam Banham; Sander J. J. Leemans; Moe Thandar Wynn; Robert Andrews 001; Kevin B. Laupland; Lucy Shinners (Artif. Intell. Medicine, 2022)

Language-Preserving Reduction Rules for Block-Structured Workflow Nets. - Sander J. J. Leemans (CoRR, 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)

Quality-Informed Process Mining: A Case for Standardised Data Quality Annotations. - Kanika Goel 002; Sander J. J. Leemans; Niels Martin; Moe Thandar Wynn (ACM Trans. Knowl. Discov. Data, 2022)

Robust Process Mining with Guarantees - Process Discovery, Conformance Checking and Enhancement - Sander J. J. Leemans (Springer, 2022)

Modelling Data-Aware Stochastic Processes - Discovery and Conformance Checking. - Felix Mannhardt; Sander J. J. Leemans; Christopher T. Schwanen; Massimiliano de Leoni (Petri Nets, 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 (BPM, 2023)

Stochastic-Aware Comparative Process Mining in Healthcare. - Tabib Ibne Mazhar; Asad Tariq; Sander J. J. Leemans; Kanika Goel 002; Moe Thandar Wynn; Andrew Staib (BPM, 2023)

Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital. - Kanika Goel 002; Sareh Sadeghianasl; Robert Andrews 001; 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 (HICSS, 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 (ICPM, 2023)

An Approximate Inductive Miner. - Jan Niklas van Detten; Pol Schumacher; Sander J. J. Leemans (ICPM, 2023)

Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract). - Sander J. J. Leemans; Fabrizio Maria Maggi; Marco Montali (IJCAI, 2023)

A process mining impacts framework. - Azumah Mamudu; Wasana Bandara; Sander J. J. Leemans; Moe Thandar Wynn (Bus. Process. Manag. J., 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, 2023)

Partial-order-based process mining: a survey and outlook. - Sander J. J. Leemans; Sebastiaan J. van Zelst; Xixi Lu 001 (Knowl. Inf. Syst., 2023)

Stochastic-aware precision and recall measures for conformance checking in process mining. - Sander J. J. Leemans; Artem Polyvyanyy (Inf. Syst., 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., 2023)

Significant stochastic dependencies in process models. - Sander J. J. Leemans; Lisa Luise Mannel; Natalia Sidorova (Inf. Syst., 2023)

Learning Generalized Stochastic Petri Nets From Event Data. - Wil M. P. van der Aalst; Sander J. J. Leemans (Principles of Verification (3), 2024)

Object Synchronizations and Specializations with Silent Objects in Object-Centric Petri Nets. - Jan Niklas van Detten; Pol Schumacher; Sander J. J. Leemans (BPM, 2024)

Stochastic Process Discovery: Can It Be Done Optimally? - Sander J. J. Leemans; Tian Li 006; Marco Montali; Artem Polyvyanyy (CAiSE, 2024)

Discovering Compact, Live and Identifier-Sound Object-Centric Process Models. - Jan Niklas van Detten; Pol Schumacher; Sander J. J. Leemans (ICPM, 2024)

A Framework for Advanced Case Notions in Object-Centric Process Mining. - Jan Niklas van Detten; Pol Schumacher; Sander J. J. Leemans (ICPM Workshops, 2024)

Ebi - a Stochastic Process Mining Framework. - Sander J. J. Leemans; Tian Li 006; Jan Niklas van Detten (ICPM Doctoral Consortium / Demo, 2024)

The Jensen-Shannon Distance for Stochastic Conformance Checking. - Tian Li 006; Sander J. J. Leemans; Artem Polyvyanyy (ICPM Workshops, 2024)

Stochastic Conformance Checking Based on Expected Subtrace Frequency. - Eduardo Goulart Rocha; Sander J. J. Leemans; Wil M. P. van der Aalst (ICPM, 2024)

Locally Optimized Process Tree Discovery. - Calvin Schröder; Jan Niklas van Detten; Sander J. J. Leemans (ICPM Workshops, 2024)

Differentially Private Event Logs with Case Attributes. - Hannes Ueck; Robert Andrews 001; Moe Thandar Wynn; Sander J. J. Leemans (ICPM Workshops, 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 001; Moe Thandar Wynn (IEEE Access, 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)

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)

Enjoy the silence: Analysis of stochastic Petri nets with silent transitions. - Sander J. J. Leemans; Fabrizio Maria Maggi; Marco Montali (Inf. Syst., 2024)

An Interdisciplinary Survey on Information Flows in Supply Chains. - Jan Pennekamp; Roman Matzutt; Christopher Klinkmüller; Lennart Bader; Martin Serror; Eric Wagner 003; Sidra Malik; Maria Spiß; Jessica Rahn; Tan Gürpinar; Eduard Vlad; Sander J. J. Leemans; et al. (ACM Comput. Surv., 2024)

Discovering the Influence of Exogenous Data on Decisions in Processes. - Adam Banham; Yannis Bertrand; Robert Andrews 001; Moe Thandar Wynn; Sander J. J. Leemans (Petri Nets, 2025)

Enjoy the Silence, Part II: Probability-Based Queries on Stochastic Labelled Petri Nets. - Sander J. J. Leemans; Marco Montali; Timo Gersing; Felix Engelhardt; Natalia Sidorova (Petri Nets, 2025)

On Process Discovery Experimentation: Addressing the Need for Research Methodology in Process Discovery. - Jana-Rebecca Rehse; Sander J. J. Leemans; Peter Fettke; Jan Martijn E. M. van der Werf (ACM Trans. Softw. Eng. Methodol., 2025)

Partially ordered stochastic conformance checking. - Sander J. J. Leemans; Tobias Brockhoff; Wil M. P. van der Aalst; Artem Polyvyanyy (Knowl. Inf. Syst., 2025)

Technical Report with Proofs for A Full Picture in Conformance Checking: Efficiently Summarizing All Optimal Alignments. - Philipp Bär; Moe Thandar Wynn; Sander J. J. Leemans (CoRR, 2025)

Stochastic Alignments: Matching an Observed Trace to Stochastic Process Models. - Tian Li 006; Artem Polyvyanyy; Sander J. J. Leemans (CoRR, 2025)