ICPM 2021 October 31-November 4, 2021, Eindhoven, the Netherlands

ML4PM 2021


October 31-November 4, 2021, Eindhoven, the Netherlands




About ML4PM

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.

Call for Papers

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:

Submission Guidelines

Contributions to all calls should be submitted electronically to the Workshop management system connecting to https://easychair.org/my/conference?conf=icpm2021. 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

Important Dates

Milestone Deadline
Abstract Submission August 19, 2021
Paper Submission August 26, 2021
Notification of Acceptance September 16, 2021
Submission of Camera Ready Papers September 30, 2021
Workshop November 1, 2021
Post-workshop Camera-Ready Papers November 16, 2021

Detailed Program - November 1st

09:00 - 10:15 Research Papers: Predictive Process Monitoring

Mohammadreza Fani Sani, Mozhgan Vazifedoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst and Wil van der Aalst. Event Log Sampling for Predictive Monitoring

Mahsa Pourbafrani, Shreya Kar, Wil van der Aalst and Sebastian Kaiser. Remaining Time Prediction for Processes with Inter-Case Dynamics

Andrea Chiorrini, Claudia Diamantini, Alex Mircoli and Domenico Potena. Exploiting Instance Graphs and Graph Neural Networks for next activity prediction

10:15 - 11:00 BREAK
11:00 - 12:15 Research Papers: Prescriptive and Responsible Process Mining

Mahmoud Shoush and Marlon Dumas. Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach.

Alexander Stevens, Johannes De Smedt and Jari Peeperkorn. Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring

Ruben Post, Iris Beerepoot, Xixi Lu, Stijn Kas, Sebastiaan Wiewel, Hajo A. Reijers and Angelique Koopman. Active Anomaly Detection for Key Item Selection in Process Auditing

Jari Peeperkorn, Seppe Vanden Broucke and Jochen De Weerdt. Can deep neural networks learn process modelstructure? An assessment framework and analysis

12:15 - 14:00 LUNCH
14:00-15:00 Poster Session

Vlad Paul Cosma, Gianmaria Tarantino, and Thomas Hildebrandt. Refining Events with Text Processing to Mine Processes in a Non-process-aware Municipal Document Management System - a Case Study

Istvan Ketyko, Felix Mannhardt, Marwan Hassani, and Boudewijn Van Dongen. On the Skewness of Event Logs with Sequential Deep Learning Models for Suffix Generation

Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, and Gabriel Marques Tavares. Using Meta-learning to Recommend Process Discovery Methods

Andrea Maldonado, Janina Sontheim and Thomas Seidl. Multilevel Anomaly Typification using the Performance Skyline

15:00 - 15:45 BREAK
15:45 - 17:15

Panel: Machine Learning and Process Mining - Marriage or Cohabitation?

Wil van der Aalst, Ernesto Damiani, Chiara Di Francescomarino, Marlon Dumas



Program Committee

Matthias Ehrendorfer, University of Vienna

Sarajane Marques Peres, University of São Paulo

Luís Paulo Faina Garcia, University of Brasilia

Michelangelo Ceci, University of Bari Aldo Moro

Gabriel Marques Tavares, Università degli Studi di Milano

Domenico Potena , Università Politechnica delle Marche

Antonella Guzzo, Università della Calabria

Natalia Sidorova, Eindhoven University of Technology

Irene Teinemaa, Booking.com

Wil van der Aalst, RWTH Aachen University

María Teresa Gómez, University of Seville

Mariangela Lazoi, University of Salento

Emerson Cabrera Paraiso, Pontifícia Universidade Católica do Paraná

Bruno Bogaz Zarpelão, State University of Londrina

Chiara Di Francescomarino, Fondazione Bruno Kessler

Fabrizio Maria Maggi, Free University of Bozen-Bolzano

Shridhar Devamane, APS College of Engineering, Bangalore

Niek Tax, Booking.com