| 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 | An Alignment Cost-Based Classification of Log Traces Using Machine-Learning. | Mathilde Boltenhagen, Benjamin Chetioui, Laurine Huber |
| 2020 | An Open-Source Integration of Process Mining Features Into the Camunda Workflow Engine: Data Extraction and Challenges. | Alessandro Berti, Wil M. P. van der Aalst, David Zang, Magdalena Lang |
| 2020 | Queueing Inference for Process Performance Analysis with Missing Life-Cycle Data. | Guy Berkenstadt, Avigdor Gal, Arik Senderovich, Roee Shraga, Matthias Weidlich |
| 2020 | Predicting Remaining Cycle Time from Ongoing Cases: A Survival Analysis-Based Approach. | Fadi Baskharon, Ahmed Awad, Chiara Di Francescomarino |
| 2020 | Automated Discovery of Process Models with True Concurrency and Inclusive Choices. | Adriano Augusto, Marlon Dumas, Marcello La Rosa |
| 2020 | Rule Mining with RuM. | Anti Alman, Claudio Di Ciccio, Dominik Haas, Fabrizio Maria Maggi, Alexander Nolte |
| 2020 | Rule Mining in Action: The RuM Toolkit. | Anti Alman, Claudio Di Ciccio, Dominik Haas, Fabrizio Maria Maggi, Jan Mendling |
| 2020 | Automated Segmentation of User Interface Logs Using Trace Alignment Techniques (Extended Abstract). | Simone Agostinelli |
| 2020 | Process Mining over Unordered Event Streams. | Ahmed Awad, Matthias Weidlich, Sherif Sakr |
| 2020 | An Expert Lens on Data Quality in Process Mining. | Robert Andrews, Fahame Emamjome, Arthur H. M. ter Hofstede, Hajo A. Reijers |
| 2020 | Keynote Data Mining on Process Data. | Thomas Seidl |
| 2019 | Improving Alignment Computation using Model-based Preprocessing. | Alifah Syamsiyah, Boudewijn F. van Dongen |
| 2019 | Likelihood-based Multiple Imputation by Event Chain Methodology for Repair of Imperfect Event Logs with Missing Data. | Sung-Hyun Sim, Hyerim Bae, Yulim Choi |
| 2019 | Inductive Context-aware Process Discovery. | Roee Shraga, Avigdor Gal, Dafna Schumacher, Arik Senderovich, Matthias Weidlich |
| 2019 | Process Mining of Logged Gaming Behavior. | Souad Ramadan, Halim Ibrahim Baqapuri, Erik Roecher, Klaus Mathiak |
| 2019 | Monotone Conformance Checking for Partially Matching Designed and Observed Processes. | Artem Polyvyanyy, Anna A. Kalenkova |
| 2019 | Mining Uncertain Event Data in Process Mining. | Marco Pegoraro, Wil M. P. van der Aalst |
| 2019 | Using Convolutional Neural Networks for Predictive Process Analytics. | Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba |
| 2019 | Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm. | Gyunam Park, Minseok Song |
| 2019 | Estimating the Impact of Incidents on Process Delay. | Felix Mannhardt, Petter Arnesen, Andreas D. Landmark |
| 2019 | Directly Follows-Based Process Mining: Exploration & a Case Study. | Sander J. J. Leemans, Erik Poppe, Moe Thandar Wynn |
| 2019 | Scalable Mixed-Paradigm Trace Clustering using Super-Instances. | Pieter De Koninck, Jochen De Weerdt |
| 2019 | Compliance Monitoring on Process Event Streams from Multiple Sources. | Patrik Koenig, Juergen Mangler, Stefanie Rinderle-Ma |
| 2019 | Measuring the Behavioral Quality of Log Sampling. | Bram Knols, Jan Martijn E. M. van der Werf |