| 2020 | 2nd International Conference on Process Mining, ICPM 2020, Padua, Italy, October 4-9, 2020 Boudewijn F. van Dongen, Marco Montali, Moe Thandar Wynn |
| 2020 | A Generic Framework for Trace Clustering in Process Mining. Fareed Zandkarimi, Jana-Rebecca Rehse, Pouya Soudmand, Hartmut Hoehle |
| 2020 | A Temporal Logic-Based Measurement Framework for Process Mining. Alessio Cecconi, Giuseppe De Giacomo, Claudio Di Ciccio, Fabrizio Maria Maggi, Jan Mendling |
| 2020 | An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining. Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos |
| 2020 | An Expert Lens on Data Quality in Process Mining. Robert Andrews, Fahame Emamjome, Arthur H. M. ter Hofstede, Hajo A. Reijers |
| 2020 | Anomaly Detection on Event Logs with a Scarcity of Labels. Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Nicolas Jashchenko Omori, Gabriel Marques Tavares |
| 2020 | Classifying process deviations with weak supervision. Manal Laghmouch, Mieke Jans, Benoît Depaire |
| 2020 | Collaborative and Interactive Detection and Repair of Activity Labels in Process Event Logs. Sareh Sadeghianasl, Arthur H. M. ter Hofstede, Suriadi Suriadi, Selen Turkay |
| 2020 | Conformance Checking Approximation Using Simulation. Mohammadreza Fani Sani, Juan J. Garza Gonzalez, Sebastiaan J. van Zelst, Wil M. P. van der Aalst |
| 2020 | Design and Evaluation of a Process-aware Recommender System based on Prescriptive Analytics. Massimiliano de Leoni, Marcus Dees, Laurens Reulink |
| 2020 | Detecting System-Level Behavior Leading To Dynamic Bottlenecks. Zahra Toosinezhad, Dirk Fahland, Özge Köroglu, Wil M. P. van der Aalst |
| 2020 | Discovering Hierarchical Processes Using Flexible Activity Trees for Event Abstraction. Xixi Lu, Avigdor Gal, Hajo A. Reijers |
| 2020 | Discovery of Activities' Actor Perspective from Emails based on Speech Acts Detection. Marwa Elleuch, Oumaima Alaoui Ismaili, Nassim Laga, Nour Assy, Walid Gaaloul |
| 2020 | Events Put into Context (EPiC). Marcus Dees, Bart Hompes, Wil M. P. van der Aalst |
| 2020 | Explainable Predictive Process Monitoring. Riccardo Galanti, Bernat Coma-Puig, Massimiliano de Leoni, Josep Carmona, Nicolò Navarin |
| 2020 | Identifying Candidate Routines for Robotic Process Automation from Unsegmented UI Logs. Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy |
| 2020 | Identifying and Reducing Errors in Remaining Time Prediction due to Inter-Case Dynamics. Eva L. Klijn, Dirk Fahland |
| 2020 | Keynote Data Mining on Process Data. Thomas Seidl |
| 2020 | Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy |
| 2020 | Process Mining over Unordered Event Streams. Ahmed Awad, Matthias Weidlich, Sherif Sakr |
| 2020 | Queueing Inference for Process Performance Analysis with Missing Life-Cycle Data. Guy Berkenstadt, Avigdor Gal, Arik Senderovich, Roee Shraga, Matthias Weidlich |
| 2020 | Rule Mining with RuM. Anti Alman, Claudio Di Ciccio, Dominik Haas, Fabrizio Maria Maggi, Alexander Nolte |
| 2020 | TOAD: Trace Ordering for Anomaly Detection. Florian Richter, Yifeng Lu, Ludwig Zellner, Janina Sontheim, Thomas Seidl |
| 2020 | Time-aware Concept Drift Detection Using the Earth Mover's Distance. Tobias Brockhoff, Merih Seran Uysal, Wil M. P. van der Aalst |
| 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 |