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Workshop Proceedings
Workshop on
Algorithms & Theories for the
Analysis of Event Data (ATAED’2019)
Aachen, Germany, June 25, 2019
Satellite event of the conferences
19th International Conference on Application of
Concurrency to System Design (ACSD 2019)
40th International Conference on Application and Theory
of Petri Nets and Concurrency (PN 2019)
Edited by
Wil van der Aalst, Robin Bergenthum, and Josep Carmona
.
Copyright c 2019 for the individual papers is held by the papers’ authors.
Copying is permitted only for private and academic purposes.
This volume is published and copyrighted by its editors.
Preface
Ehrenfeucht and Rozenberg defined regions more than 25 years ago as sets
of nodes of a finite transition system. Every region relates to potential condi-
tions that enable or disable transition occurrences in an associated elementary
net system. Later, similar concepts were used to define regions for Petri nets
from languages as well. Both state-based and language-based approaches aim to
constrain a Petri net by adding places deduced from the set of regions. By now,
many variations have been proposed, e.g., approaches dealing with multiple to-
kens in a place, region definitions for Petri nets with inhibitor arcs, extensions
to partial languages, regions for infinite languages, etc.
Initially, region theory focused on synthesis. We require the input and the
behavior of the resulting Petri net to be equivalent. Recently, region-based re-
search started to focus on process mining as well where the goal is not to create
an equivalent model but to infer new knowledge from the input. Process min-
ing examines observed behavior rather than assuming a complete description
in terms of a transition system or prefix-closed language. For this reason, one
needs to deal with new problems such as noise and incompleteness. Equivalence
notions are replaced by trade-offs between fitness, simplicity, precision, and gen-
eralization. A model with good fitness allows for most of the behavior seen in
the event log. A model that does not generalize is “overfitting”. Overfitting is the
problem that a very specific model is generated whereas it is obvious that the log
only holds example behavior. A model that allows for “too much behavior” lacks
precision. Simplicity is related to Occam’s Razor which states that “one should
not increase, beyond what is necessary, the number of entities required to explain
anything”. Following this principle, we look for the simplest process model that
can explain what was observed in the event log. Process discovery from event
logs is very challenging because of these and many other trade-offs. Clearly, there
are many theoretical process-mining challenges with a high practical relevance
that need to be addressed urgently.
All these challenges and opportunities are the motivation for organizing the
Algorithms & Theories for the Analysis of Event Data (ATAED) workshop. The
workshop first took place in Brussels in 2015 as a succession of the Applications
of Region Theory (ART) workshop series. From there on, the workshop moved
to Toruń (2016), Zaragoza (2017) and Bratislava (2018). After the success of
these workshops, it is only natural to bring together researchers working on
region-based synthesis and process mining again.
The ATAED’2019 workshop took place in Aachen on June 25, 2019 and was a
satellite event of both the 40th International Conference on Application and The-
ory of Petri Nets and Concurrency (Petri Nets 2019) and the 19th International
Conference on Application of Concurrency to System Design (ACSD 2019). This
year, the workshop is also co-located with the 1st International Conference on
Process Mining (ICPM 2019).
Papers related to process mining, region theory and other synthesis tech-
niques were presented at ATAED’2019. These techniques have in common that
“lower level” behavioral descriptions (event logs, partial languages, transition sys-
tems, etc.) are used to create “higher level” process models (e.g., various classes
of Petri nets, BPMN, or UML activity diagrams). In fact, all techniques that
aim at learning or checking concurrent behavior from transition systems, runs,
or event logs were welcomed. The workshop was supported by the IEEE Task
Force on Process Mining (www.win.tue.nl/ieeetfpm/).
After a careful reviewing process, six papers were accepted for the workshop.
We thank the reviewers for providing the authors with valuable and constructive
feedback. Moreover, we were honored that Wolfgang Reisig was willing to give
an invited talk on “How to analyze BIG systems?”. We thank Wolfgang, the
authors, and the presenters for their wonderful contributions.
Enjoy reading the proceedings!
Wil van der Aalst, Robin Bergenthum, and Josep Carmona
June 2019
Program committee of ATAED’2019
Wil van der Aalst, RWTH Aachen, Germany (co-chair)
Abel Armas Cervantes, QUT, Australia
Eric Badouel, INRIA Rennes, France
Robin Bergenthum, FernUni Hagen, Germany (co-chair)
Luca Bernardinello, Universitá degli studi di Milano-Bicocca, Italy
Andrea Burattin, University of Innsbruck, Austria
Josep Carmona, UPC Barcelona, Spain (co-chair)
Paolo Ceravolo, University of Milan, Italy
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
Robert Lorenz, Uni Augsburg, Germany
Manuel Mucientes, University of Santiago de Compostela, Spain
Marta Pietkiewicz-Koutny, Newcastle University, GB
Uli Schlachter, Uni Oldenburg, Germany
Arik Senderovich, Technion, Israel
Jochen De Weerdt, KU Leuven, Belgium
Lijie Wen, Tsinghua University, China
Moe Wynn, Queensland University of Technology, Australia
Alex Yakovlev, Newcastle University, GB
Table of Contents
Raymond Devillers, Evgeny Erofeev, Thomas Hujsa
Synthesis of Weighted Marked Graphs from
Circular Labelled Transition Systems 6 - 22
Jörg Desel
Can a Single Transition Stop an Entire Net? 23 - 35
Federica Adobbati, Carlo Ferigato,
Stefano Gandelli, Adrián Puerto Aubel
Two Operations for Stable Structures of Elementary Regions 36 - 53
Nassim Laga, Marwa Elleuch,
Walid Gaaloul, Oumaima Alaoui Ismaili
Emails Analysis for Business Process Discovery 54 - 70
Ronny Tredup, Christian Rosenke
On the Hardness of Synthesizing Boolean Nets 71 - 86
Alessandro Berti, Wil van der Aalst
Reviving Token-based Replay: Increasing Speed
While Improving Diagnostics 87 - 103