Algorithms & Theories for the Analysis of Event Data 2025
@Petri Net 2025 (22-27 June), Paris, France
The workshop Algorithms & Theories for the Analysis of Event Data is a satellite event of the 46h International Conference
on Application and Theory of Petri Nets and Concurrency (Petri Nets 2025).
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 2025 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.
Dates
The deadline for abstracts is March 18, 2025.
The deadline for papers is March 28, 2025.
The Notification of paper acceptance is April 21, 2025.
The Workshop is June 24, 2025.
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 automated business process model discovery conformance checking, alignments, and replay algorithms process monitoring
object centric event ogs partially ordered event logs decision mining techniques real-time process mining trace clustering methods architectures for distributed process mining case studies and empirical investigations using event data
Program Committee
Abel Armas Cervantes
Robin Bergenthum (co-chair)
Thomas Chatain
Jörg Desel
Stefan Haar
Anna Kalenkova
Jakub Kovář
Gabriel Juhás
Sander Leemans
Robert Lorenz
Lisa Mannel
Felix Mannhardt
Andrey Rivkin (co-chair)
Dominique Sommers
Jochen De Weerdt
Jan-Martin van der Werf (co-chair)