Algorithms & Theories for the Analysis of Event Data 2020

@Petri Net 2020 (22-26 JUNE 2020) Paris


The workshop Algorithms & Theories for the Analysis of Event Data (ATAED 2020) is a satellite event of the 41th International Conference on Application and Theory of Petri Nets and Concurrency (PN 2020). 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 2020 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 Springer LNCS-format. 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.


DATES


The deadline for papers is March 16.
The workshop will take place on June 23.



Program Committee


Wil van der Aalst, RWTH Aachen, Germany (co-chair)
Abel Armas Cervantes, QUT, Australia
Robin Bergenthum, FernUni Hagen, Germany (co-chair)
Luca Bernardinello, Università degli studi di Milano-Bicocca, Italy
Andrea Burattin, University of Innsbruck, Austria
Josep Carmona, UPC Barcelona, Spain (co-chair)
Claudio Di Ciccio, Vienna University of Economics and Business, Austria
Benoît Depaire, Hasselt University, Belgium
Jörg Desel, FernUni Hagen, Germany
Dirk Fahland, TU Eindhoven, The Netherlands
Chiara Di Francescomarino, FBK-IRST, Italy
Stefan Haar, LSV CNRS & ENS de Cachan, France

Gabriel Juhás, Slovak University of Technology, Slovak Republic
Anna Kalenkova, Higher School of Economics NRU, Russia
Jetty Kleijn, Leiden University, The Netherlands
Manuel Lama, University of Santiago de Compostela, Spain
Wen Lijie, Tsinghua University, China
Robert Lorenz, Uni Augsburg, Germany
Marta Pietkiewicz-Koutny, Newcastle University, GB
Adrian Puerto Aubel, INRIA - Rennes, France
Arik Senderovich, Technion, Israel
Jochen De Weerdt, KU Leuven, Belgium
Moe Wynn, Queensland University of Technology, Australia
Alex Yakovlev, Newcastle University, GB



History


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