Algorithms & Theories for the Analysis of Event Data 2023

@Petri Net 2023 (26-27 June)

The workshop Algorithms & Theories for the Analysis of Event Data (ATAED 2023) is a satellite event of the 44th International Conference on Application and Theory of Petri Nets and Concurrency (Petri Nets 2023). The workshop aims to attract papers related to process mining, region theory and other synthesis techniques. These techniques have in common that "lower level" behavioral descriptions (event logs, sets of partial orders, transition systems, etc.) are used to create "higher level" process models (e.g., various classes of Petri nets, BPMN, or UML activity diagrams).
ATAED 2023 solicits papers related to process mining and region theory. However, the scope is not limited to this. The program committee invites submission of full papers (up to 15 pages) and of short papers (up to 5 pages). Papers should be submitted as pdf-files using the CEUR latex style. Papers need to be submitted via Easychair.

Process mining is to analyze event data, thereby focusing on behavior rather than correlations and simplistic performance indicators. For example, event logs can be used to automatically learn end-to-end process models based on recorded event data. Next to the automated discovery, there are process mining techniques to analyze bottlenecks, to uncover hidden inefficiencies, to check compliance, to explain deviations, to predict performance, and to guide users towards "better" processes.
Region theory is to synthesize a process model from a behavioral description. Applying the theory of regions guarantees the behavioral description and the language of the synthesized model to be equivalent. Various forms of region-based ideas (language-based and state-based variants) have been applied in the context of process mining. Here, there is only example behavior. This, creates many theoretical challenges with high practical relevance.


Proceedings of the Workshop

11.00 Opening Session
Invited talk from Tijs Slaats
14.00 Concurreny Session
César Barrón-Rubio and Ernesto Lopez-Mellado. Inferring activity concurrency relations from incomplete event logs.
Marta Pietkiewicz-Koutny and Maciej Koutny. Synthesising Elementary Net Systems with Interval Order Semantics.
16.00 Discovery Session
Christian Rennert, Lisa Luise Mannel and Wil van der Aalst. Improving the eST-Miner Models by Replacing Imprecise Structures Using Place Projection.
Aaron Küsters and Wil van der Aalst. Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications.


Theory and applications of process mining
Theory and applications of region theory
Theory and applications for Event-Based Predictive Analytics
Theory and applications Solutions for Process Mining & Big Data
Theory and applications for event data abstraction
Automated business process model discovery
Conformance checking, alignments, and replay algorithms
Process Monitoring
Partially ordered event logs
Decision Mining Techniques
Real-Time Process Mining
Concept Drift Detection
Trace Clustering Methods
Architectures for Distributed Process Mining
Case studies and empirical investigations using event data
Evaluation Methods for Process Mining


Program Committee

Abel Armas Cervantes, University of Melbourne, Australia
Luca Bernardinello, Universita' degli Studi di Milano-Bicocca, Italy
Paolo Ceravolo, University of Milan, Italy
Jochen De Weerdt, KU Leuven, Belgium
Jörg Desel, FernUniversität in Hagen, Germany
Claudio Di Ciccio, Sapienza University of Rome, Italy
Chiara Di Francescomarino, FBK-IRST, Italy
Dirk Fahland, TU Eindhoven, The Netherlands
Stefan Haar, INRIA and LMF, CNRS & ENS Paris-Saclay, France
Anna Kalenkova, University Adelaide, Australia
Sander Leemans, QUT, Australia
Robert Lorenz, University of Augsburg, Germany (co-chair)
Lisa Mannel, RWTH Aachen University, Germany
Marta Pietkiewicz-Koutny, Newcastle University, United Kingdom
Andrey Rivkin, Free University of Bozen Bolzano, Italy
Daniel Schuster, Fraunhofer FIT/RWTH Aachen University, Germany
Arik Senderovich, York University, Canada
Lijie Wen, Tsinghua University, China
Alex Yakovlev, Newcastle University, United Kingdom
Jan-Martijn van der Werf, Utrecht University, The Netherlands (co-chair)
Sebastiaan J. van Zelst, Fraunhofer FIT/RWTH Aachen University, Germany (co-chair)


Algorithms and Theories for the Analysis of Event Data 2022, Bergen, Norway
Algorithms and Theories for the Analysis of Event Data 2020, virtual
Algorithms and Theories for the Analysis of Event Data 2019, Aachen, Germany
Algorithms and Theories for the Analysis of Event Data 2018, Bratislava, Slovakia
Algorithms and Theories for the Analysis of Event Data 2017, Zaragoza, Spain
Algorithms and Theories for the Analysis of Event Data 2016, Toruń, Poland
Algorithms and Theories for the Analysis of Event Data 2015, Brussels, Belgium
Applications of Region Theory 2013, Barcelona, Spain
Applications of Region Theory 2011, Newcastle upon Tyne, UK
Applications of Region Theory 2010, Braga, Portugal