The interest in combining Machine Learning and Process Mining has seen increasing growth in the last few years along with the relevance of the ICPM conference. Thus, this workshop offers a focused environment to discuss new approaches, applications and their results to a wide audience, composed of researchers and practitioners. ML4PM will be held in Eindhoven, in conjunction with the ICPM conference.
This workshop invites papers that present works that lay in the intersection between machine learning and process mining. The event provides a suitable environment to discuss new approaches presented by researchers and practitioners. Main themes include automated process modeling, predictive process mining, application of deep learning techniques and online process mining. The workshop will count with leading researchers, engineers and scientists who are actively working on these topics.
Topics of interest for submission include, but are not limited to:
Contributions to all calls should be submitted electronically to the Workshop management system connecting to https://easychair.org/my/conference?conf=icpm2022. At least one author of each accepted paper is expected to participate in the conference and present his/her work.
Submissions must be original contributions that have not been published previously. Authors are requested to prepare submissions according to the format of the Lecture Notes in Business Information Processing (LNBIP) series by Springer href="http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0. Submissions must be in English and must not exceed 12 pages (including figures, bibliography and appendices). Each paper should contain a short abstract, clarifying the relation of the paper with the workshop topics, clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to the literature.
Registrations are managed by the ICPM system
| Milestone | Deadline |
|---|---|
| Abstract Submission | |
| Paper Submission | |
| Notification of Acceptance | September 16, 2022 |
| Submission of Camera Ready Papers | October 5, 2022 |
| Workshop | October 24, 2022 |
| Post-workshop Camera-Ready Papers | November 7, 2022 |
You can vote papers just after their presentation by connecting to app.wooclap.com/ML4PM
| Time | Title | Authors |
|---|---|---|
| Research Papers: Session 1 | ||
| 09:00 | Genetic algorithms for AutoML in outcome-based process predictive monitoring | Nahyun Kwon and Marco Comuzzi. |
| 09:25 | Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs | Jari Peeperkorn, Alexander Stevens, Carlos Ortega Vazquez, Johannes De Smedt, Seppe Vanden Broucke and Jochen De Weerdt |
| 09:50 | On the Potential of Textual Data for Explainable Predictive Process Monitoring | Christian Warmuth and Henrik Leopold. |
| 10:15 | Clustering analysis and frequent pattern mining for process profile analysis: an exploratory study for object-centric event logs | Elio Ribeiro Faria Junior, Thais Rodrigues Neubauer, Marcelo Fantinato and Sarajane Marques Peres. |
| 10:45 - 11:30 | BREAK | |
| Research Papers: Session 2 | ||
| 11:30 | LSTM-based Anomaly Detection of Process Instances: Benchmark and Tweaks | Johannes Lahann, Peter Pfeiffer and Peter Fettke. |
| 11:55 | Attribute-Based Conformance Diagnosis: Correlating Trace Attributes with Process Conformance | Michael Grohs and Jana-Rebecca Rehse. |
| 12:20 | Resource Allocation in Business Processes with Deep Reinforcement Learning | Kamil Żbikowski, Michał Ostapowicz and Piotr Gawrysiak. |
| 12:45 | Detecting Surprising Situations in Event Data | Christian Kohlschmidt, Mahnaz Sadat Qafari and Wil van der Aalst. |
| 13:10 - 14:30 | LUNCH | |
| Invited Talks | ||
| 14:30-15:30 | ||
| 15:45 - 16:30 | BREAK | |
| 16:30-17:30 | Technical Talk: Process Mining in Python: Basics and Integrations to Other Python Libraries | Sebastiaan van Zelst |
Chiara Di Francescomarino, Fondazione Bruno Kessler-IRST
Jochen De Weerdt, Katholieke Universiteit Leuven
Domenico Potena, Università Politecnica delle Marche
Matthias Ehrendorfer, University of Vienna
Carl Corea, University of Koblenz-Landau
Boudewijn Van Dongen, Eindhoven University of Technology
Maurice van Keulen, University of Twente
Shridhar Devamane, APS College of Engineering
Bruno Zarpelao, State University of Londrina
Emerson Paraiso, PUCPR - Pontificia Universidade Catolica do Parana
Mariangela Lazoi, Università del Salento
Rafael Oyamada, University of Milan
Maria Teresa Gómez López, University of Seville
Marco Comuzzi, Ulsan National Institute of Science and Technology
Mario Luca Bernardi, University of Sannio
Michelangelo Ceci, Universita degli Studi di Bari
Sarajane M. Peres, University of São Paulo
Vincenzo Pasquadibisceglie, University of Bari
Riccardo De Masellis, Uppsala University
Fabrizio Maria Maggi, Free University of Bozen-Bolzano
Natalia Sidorova, Department of Mathematics and Computer Science, Technische Universiteit Eindhoven
Flavia Santoro, UERJ
Luigi Pontieri ICAR, National Research Council of Italy (CNR)
Gabriel Marques Tavares, University of Milan
Marco Pegoraro, RWTH Aachen