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. LLM-Orchestrated Conformance Checking in Stroke Care Without Computer-Interpretable Guidelines

    Jun 8, 2026Giorgio Leonardi, Stefania Montani, Manuel Striani +2HealthcareProcess Mining

    Computer Science Institute, DiSIT, University of Piemonte Orientale, Viale Teresa Michel, 11, Alessandria, 15121, Italy · Integrated Laboratory of AI and Medical Informatics, DAIRI, SS. Antonio e Biagio e Cesare Arrigo Hospital, Alessandria, Italy

  2. Developing a Totally Unimodular Linear Program for Optimal Conformance Checking: When and Why It Complements A*

    May 26, 2026Izack CohenAlgorithm SelectionProcess Mining

    aFaculty of Engineering, Bar-Ilan University, Ramat Gan, Israel

  3. From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways

    May 5, 2026Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile +1Predictive Process MonitoringProcess Mining

    Department of Informatics, University of Bari Aldo Moro, Bari, Italy · Department of Engineering, University of Sannio, Benevento, Italy · Department of Economy and Law, UnitelmaSapienza University, Rome, Italy

  4. Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways

    Apr 28, 2026Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile +1Process Mining

    University of Bari Aldo Moro, Bari, Italy · Unisannio University of Benevento, Italy · UnitelmaSapienza Rome, Italy

  5. All Eyes on the Workflow: Automated and Efficient Event Discovery from Video Streams

    Apr 24, 2026Marco Pegoraro, Jonas Seng, Dustin Heller +2Process MiningTemporal Video Understanding

    Chair of Process and Data Science, RWTH Aachen University, Ahornstr. 55, 52074 Aachen, Germany · Artificial Intelligence & Machine Learning Lab, Technical University of Darmstadt, Hochschulstr. 1, 64289 Darmstadt, Germany

  6. Promoting Simple Agents: Ensemble Methods for Event-Log Prediction

    Apr 23, 2026Benedikt Bollig, Matthias Függer, Thomas Nowak +1Next-Action PredictionEnsemble Learning

    Université Paris-Saclay, CNRS, ENS Paris-Saclay, LMF, Gif-sur-Yvette, France · Institut Universitaire de France, Paris, France · Direction Générale de l’Armement, Paris, France

  7. Dynamic Risk Assessment by Bayesian Attack Graphs and Process Mining

    Apr 20, 2026Francesco Vitale, Simone Guarino, Stefano Perone +2Process MiningCybersecurity

    DIETI, University of Naples Federico II, Naples, Italy · Department of Engineering, University Campus Bio-Medico of Rome, Rome, Italy

  8. Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining

    Apr 20, 2026Francesco Vitale, Francesco Grimaldi, Massimiliano Rak +1Process MiningNetwork Intrusion Detection

    DIETI University of Naples Federico II Naples, Italy

  9. M2-PALE: A Framework for Explaining Multi-Agent MCTS--Minimax Hybrids via Process Mining and LLMs

    Apr 16, 2026Yiyu Qian, Liyuan Zhao, Tim MillerExplainable Artificial IntelligenceGame-Playing Agents

    RMIT University, Melbourne, Victoria 3000, Australia · University of California, Irvine, Irvine, CA 92617, USA · University of Queensland, Brisbane, Queensland 4072, Australia

  10. AutoFlows++: Hierarchical Message Flow Mining for System on Chip Designs

    Apr 12, 2026Bardia Nadimi, Hao ZhengElectronic Design AutomationProcess Mining

    Bellini College of AI, Cybersecurity and Computing, University of South Florida, Tampa, United States

  11. Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams

    Apr 1, 2026Andrea Maldonado, Christian Imenkamp, Hendrik Reiter +4Process MiningSynthetic Data Evaluation

    School of Engineering and Design, Technical University of Munich, Germany · Database Systems and Data Mining, Ludwig Maximilian University of Munich, Germany · Munich Center for Machine Learning, Munich, Germany +2

  12. Neuro-Symbolic Process Anomaly Detection

    Mar 27, 2026Devashish Gaikwad, Wil M. P. van der Aalst, Gyunam ParkLogic Tensor NetworksAnomaly Detection

    RWTH Aachen University, Aachen, Germany · Eindhoven University of Technology, Eindhoven, The Netherlands

  13. Discovery of Decision Synchronization Patterns from Event Logs

    Mar 20, 2026Tijmen Kuijpers, Karolin Winter, Remco DijkmanBusiness Process ModelingProcess Mining

    Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, Eindhoven, The Netherlands

  14. PMAx: An Agentic Framework for AI-Driven Process Mining

    Mar 16, 2026Anton Antonov, Humam Kourani, Alessandro Berti +2Process MiningData Analysis Agents

    Fraunhofer Institute for Applied Information Technology FIT, Schloss Birlinghoven, 53757 Sankt Augustin, Germany · RWTH Aachen University, Ahornstraße 55, 52074 Aachen, Germany

  15. Time Series Foundation Models for Process Model Forecasting

    Dec 8, 2025Yongbo Yu, Jari Peeperkorn, Johannes De Smedt +1Zero-Shot Time Series ForecastingProcess Mining

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