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.
Programme
11.00 Opening Session
Invited talk from Tijs Slaats
Lunch
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.
Coffee
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.
Topics
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)
History
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