Process Mining

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Overview

Process mining studies how recorded activities reveal the actual paths people and systems take through workflows, helping organizations find bottlenecks, check rules, and anticipate outcomes. Discovery methods build process models such as Petri nets from event logs, while conformance checking compares observed behavior with models or guidelines. Predictive approaches use sequence models, graphs, and probabilistic methods to forecast next activities, durations, or risks; newer work also uses object-centric data and language models to extract or explain processes. A central challenge is balancing accurate, useful models with incomplete or noisy logs, especially when case-based representations hide concurrency and rare but important behavior.

Latest papers

CardsList

45 papers3 papers in the last four weeks, down 75% on the four weeks before. 0.0% of all new papers.

  1. Structure-Aware Message Passing on Petri Nets through Directed Walks and Incidence Diffusion

    Oct 21, 2026Geri SkenderiRepresentation LearningMessage Passing Neural Networks

    HASH

  2. Process-Aware Event Log Augmentation for Process Prediction under Labeled Data Scarcity

    Oct 17, 2026Sjoerd van Straten, Alessandro Padella, Marwan HassaniPredictive Process MonitoringProcess Mining

    Eindhoven University of Technology, Eindhoven, The Netherlands · University of Padua, Padua, Italy · University of Wuppertal, Wuppertal, Germany

  3. A Node Embedding Framework for Model-Centric Conformance Checking in Process Mining

    Oct 13, 2026Mostafa Abbasi, Homayoun NajjaranProcess MiningAutomated Evaluation

    Faculty of Engineering and Computer Science, University of Victoria, Victoria, BC, Canada

  4. Marginal Log-Likelihood Increments under Dirichlet-Smoothed Markov Estimation

    Sep 22, 2026Levin David SchwabMarkov ModelsProcess Mining

  5. Concurrency-Aware Process Model Forecasting with Causal Nets

    Sep 18, 2026Yongbo Yu, Jari Peeperkorn, Johannes De Smedt +1Process MiningBusiness Process Modeling

    Research Center for Information Systems Engineering (LIRIS), KU Leuven, Leuven, Belgium

  6. Goal-driven Variant Categorization

    Sep 18, 2026Daniel Calegari, Daniel AmyotProcess Mining

    Universidad ORT Uruguay, Montevideo, Uruguay · University of Ottawa, Ottawa, Canada

  7. Probabilistic Forecasting of Business Process Executions with Neural Temporal Point Processes

    Sep 18, 2026Jiaxin Yuan, Daniela Grigori, Han van der AaProbabilistic ForecastingPredictive Process Monitoring

    Paris Dauphine University-PSL, Pl. du Maréchal de Lattre de Tassigny, 75016 Paris, France · University of Vienna, Universitätsring 1, 1010 Wien, Austria

  8. Resolution limits for process comparison from event data

    Sep 17, 2026Antony R. Lee, Peter Tiňo, Iain B. StylesProcess Mining

    School of Computer Science, University of Birmingham, Birmingham, B15 2TT, United Kingdom · School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, BT7 1NN, United Kingdom

  9. Complete Suffix Prediction for Recommendation via Latent Retrieval over Process Graphs

    Sep 14, 2026Sarra Madad, Myriam Maumy, Fr{é}d{é}ric Bertrand +1Predictive Process MonitoringProcess Mining

    UTT, LIST3N - OPTI, QAD · EHESP, LIST3N - OPTI, ARENES · CEDRIC, LIST3N - OPTI +1

  10. GNN4PPM: Multi-Target Predictive Process Monitoring with Relational Graph Convolutional Networks

    Sep 13, 2026Ana Costa, Johannes Mäkelburg, Luise PufahlPredictive Process MonitoringProcess Mining

    Technical University of Munich, School of Computation, Information and Technology, Heilbronn, Germany

  11. Leveraging contextual events on structure-aware next activity prediction

    Sep 8, 2026Alessandro Mele, Claudia Diamantini, Domenico PotenaPredictive Process MonitoringProcess Mining

    Department of Information Engineering, Polytechnic University of Marche, Ancona, Marche, Italy

  12. From Event Logs to Governed Action: A BlueSky Agenda for Agentic Process Mining

    Sep 7, 2026Yiyuan Yang, Zheshun Wu, Yong Chu +3Process MiningAgentic Workflows

    University of Oxford, United Kingdom · Peng Cheng Laboratory, Shenzhen, China · University of Glasgow, United Kingdom +2

  13. Decision-Aware Suffix Prediction and Reasoning of Business Processes

    Sep 5, 2026Henryk Mustroph, Stefanie Rinderle-MaPredictive Process MonitoringProcess Mining

    Technical University of Munich, TUM School of Computation, Information and Technology, Garching, Germany

  14. A Unified Particle Filter LSTM for Data-Driven Process Simulation

    Sep 2, 2026Parvin Malekzadeh, Opher Baron, Dmitry KrassParticle FilteringProcess Mining

    Rotman School of Management, University of Toronto, Toronto, ON, Canada

  15. Automated Event Log Generation from Unstructured Text Using Finetuned LLMs

    Sep 1, 2026Maximilian Seeth, Gabriel Marques Tavares, Daniel SchusterProcess MiningLLM Fine-Tuning

    LMU Munich, Germany · University of Mannheim, Germany

  16. Efficient Online Continual Foundation Model Fine-Tuning for Predictive Process Monitoring

    Aug 28, 2026Sjoerd van Straten, Marwan HassaniPredictive Process MonitoringProcess Mining

    Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands · Department of Mathematics and Computer Science, University of Wuppertal, Germany

  17. A Framework for Object-Centric Predictive Monitoring of Collaborative Processes

    Aug 27, 2026Daniel Calegari, Andrea Delgado, Leonel Peña +1Process MiningPredictive Process Monitoring

    Universidad ORT Uruguay, Cuareim 1451, Montevideo, 11100, Montevideo, Uruguay · Instituto de Computación, Facultad de Ingeniería, Universidad de la República, J. Herrera y Reissig 565, Montevideo, 11300, Montevideo, Uruguay

  18. Inducing Task Models from Computer-Use Traces

    Aug 20, 2026Yucheng Jiang, Zora Zhiruo Wang, Ruishi Chen +1Task DecompositionProcess Mining

    Stanford University · Carnegie Mellon University

  19. Graphectory Viewer: A Tool for Process-Centric Analysis of Agentic Software Trajectories

    Aug 17, 2026Charlie Jyu, Shuyang Liu, Reyhaneh JabbarvandAgent Trajectory AnalysisVisual Analytics

    University of Illinois at Urbana-Champaign Champaign, USA

  20. Mind the Long Tail: Understanding the Difficulty of Delay Detection in Business Processes

    Aug 14, 2026Keyvan Amiri Elyasi, Lukas Kirchdorfer, Heiner StuckenschmidtPredictive Process MonitoringProcess Mining

    Data and Web Science Group, University of Mannheim, Germany · SAP Signavio, Walldorf, Germany

  21. Monotonicity-Guided Bottom-Up Petri Net Discovery: The SPECpp Framework

    Aug 10, 2026Leah Tacke genannt Unterberg, Lisa L. Mannel, Wil M. P. van der AalstProcess Mining

    Process And Data Science (PADS) RWTH Aachen University D-52074 Aachen, Germany

  22. Revisiting Predictive Process Monitoring in the Age of Foundation Models: A Comparative Study of Sequence, Tabular, and LLM Approaches

    Jul 30, 2026Lennart Fertig, Lukas Kirchdorfer, Tobias SesterhennTabular Foundation ModelsPredictive Process Monitoring

    University of Mannheim, Mannheim, Germany · SAP Signavio, Walldorf, Germany · Technical University of Clausthal, Clausthal, Germany

  23. Cross-organisational Process Mining from Message Logs

    Jul 29, 2026Pieter Kwantes, Jetty KleijnProcess MiningBusiness Process Modeling

    LIACS, Leiden University, P.O.Box 9512 NL-2300 RA Leiden, The Netherlands

  24. Framework for Grouping Local Process Models

    Jul 6, 2026Viki Peeva, Wil M. P. van der AalstProcess MiningClustering

    Chair of Process and Data Science (PADS), RWTH Aachen University, Ahronstrasse 55, Aachen, 52074, North Rhine-Westphalia, Germany.

  25. LLM-Driven CI-CD Workflow Intelligence for Cyber Systems Engineering

    Jul 6, 2026Bonan Shen, Jiazhou Gao, Tao Ning +2Process Mining

    Independent Researcher

  26. EHHN: An Event-driven Heterogeneous Hypergraph Network for Object-Centric Next Activity Prediction

    Jul 2, 2026Jiaxing Wang, Kaitao Chen, Zhubin Han +4Temporal GNNsProcess Mining

    College of Computer Science and Technology, Zhejiang University of Technology, 310023, Hangzhou, China · University of Southern Queensland, Toowoomba, QLD 4350, Australia

  27. Graph Grounded Cross Attention Transformer Neural Network for Structurally Constrained Full Event Sequence Generation in Predictive Process Monitoring

    Jun 17, 2026Fang Wang, Ernesto DamianiPredictive Process MonitoringProcess Mining

    Department of Computer Science, University of Milan, Via Giovanni Celoria, 18, Milano 20133, MI, Italy

  28. Abstracting Cross-Domain Action Sequences into Interpretable Workflows

    Jun 12, 2026Gaurav Verma, Scott CountsProcess Mining

    Microsoft Corporation

  29. Agent Behavior Mining: Generative AI Agent Governance in Business Processes

    Jun 12, 2026Hoang Vu, Maximilian Körner, Adrian Rebmann +4Process MiningBusiness Process Automation

    SAP, Berlin, Germany · Umeå University, Umeå, Sweden

  30. DIFF-ERO: A Conformance-Aware Loss for Deep Learning in Process Mining

    Jun 12, 2026Johannes De Smedt, Jari Peeperkorn, Artem Polyvyanyy +1Process Mining

    KU Leuven, Leuven, Belgium · The University of Melbourne, Parkville, VIC 3010, Australia