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      <title-group>
        <article-title>Algorithms &amp; Theories for the Analysis of Event Data (ATAED'2016)</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Preface</string-name>
        </contrib>
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      <pub-date>
        <year>2016</year>
      </pub-date>
      <fpage>20</fpage>
      <lpage>21</lpage>
      <kwd-group>
        <kwd>Satellite event of the conferences</kwd>
        <kwd>16th International Conference on Application of</kwd>
        <kwd>Concurrency to System Design (ACSD 2016)</kwd>
        <kwd>37th International Conference on Application and Theory of Petri Nets and Concurrency (PN 2016)</kwd>
      </kwd-group>
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      <title>Edited by</title>
      <p>Wil van der Aalst, Robin Bergenthum, and Josep Carmona</p>
      <p>These proceedings are published online by the editors as Volume 1592 at CEUR
Workshop Proceedings
http://ceur-ws.org/Vol-1592
Copyright c 2016 for the individual papers is held by the papers' authors.
Copying is permitted only for private and academic purposes.</p>
      <p>This volume is published and copyrighted by its editors.</p>
      <p>Ehrenfeucht and Rozenberg de ned regions about 20 years ago as sets of
nodes of a nite transition system. Every region relates to potential conditions
that enable or disable transition occurrences in an associated elementary net
system. Later, similar concepts were used to de ne 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
tokens in a place, region de nitions for Petri nets with inhibitor arcs, extensions
to partial languages, regions for in nite languages, etc.</p>
      <p>Initially, region theory focused on synthesis. We require the input and the
behavior of the resulting Petri net to be equivalent. Recently, region-based
research 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
mining examines observed behavior rather than assuming a complete description
in terms of a transition system or pre x-closed language. For this reason, one
needs to deal with new problems such as noise and incompleteness. Equivalence
notions are replaced by trade-o s between tness, simplicity, precision, and
generalization. A model with good tness allows for most of the behavior seen in the
event log. A model that does not generalize is \over tting". Over tting is the
problem that a very speci c 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-o s. Clearly, there
are many theoretical process-mining challenges with a high practical relevance
that need to be addressed urgently.</p>
      <p>All these challenges and opportunities are the motivation for organizing the
Algorithms &amp; Theories for the Analysis of Event Data (ATAED) workshop. The
workshop rst took place in 2015 as a succession of the Applications of Region
Theory (ART) workshop series. After the success of the initial workshop, it is
only natural to bring together researchers working on region-based synthesis and
process mining again.</p>
      <p>The ATAED'2016 workshop took place in Torun on June 20-21, 2016 and
was a satellite event of both the 37th International Conference on Application
and Theory of Petri Nets and Concurrency (Petri Nets 2016) and the 16th
International Conference on Application of Concurrency to System Design (ACSD
2016). Papers related to process mining, region theory and other synthesis
techniques were presented at ATAED'2016. These techniques have in common that
\lower level" behavioral descriptions (event logs, partial languages, transition
systems, 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/).</p>
      <p>After a careful reviewing process, eleven papers were accepted for the
workshop. Overall, the quality of the submitted papers was good and most
submissions matched the workshop goals very well. We thank the reviewers for providing
the authors with valuable and constructive feedback. Moreover, we were honored
that Marco Montali was willing to give an invited talk on \Marrying data and
processes". We thank Marco, the authors, and the presenters for their wonderful
contributions.</p>
      <p>Enjoy reading the proceedings!
Wil van der Aalst, Robin Bergenthum, and Josep Carmona
June 2016</p>
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      <title>Program committee of ATAED'2016</title>
      <p>Wil van der Aalst, TU Eindhoven, The Netherlands (co-chair)
Eric Badouel, INRIA Rennes, France
Robin Bergenthum, FernUni Hagen, Germany (co-chair)
Luca Bernardinello, Universita degli studi di Milano-Bicocca, Italy
Seppe vanden Broucke, KU Leuven, Belgium
Andrea Burattin, University of Innsbruck, Austria
Toon Calders, Universite Libre de Bruxelles, Belgium
Josep Carmona, UPC Barcelona, Spain (co-chair)
Paolo Ceravolo, University of Milan, Italy
Claudio Di Ciccio, Vienna University of Economics and Business, Austria
Manuel Mucientes, University of Santiago de Compostela, Spain
Beno^t Depaire, Hasselt University, Belgium
Jorg Desel, FernUni Hagen, Germany
Dirk Fahland, TU Eindhoven, The Netherlands
Diogo Ferreira, Universidade de Lisboa, Portugal
Luciano Garca-Ban~uelos, University of Tartu, Estonia
Stefan Haar, LSV CNRS &amp; ENS de Cachan, France
Gabriel Juhas, 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
Hernan Ponce de Leon, Aalto University, Finland
Marta Pietkiewicz-Koutny, Newcastle University, GB
Marcos Sepulveda, Universidad Catolica de Chile, Chile
Jochen De Weerdt, KU Leuven, Belgium
Alex Yakovlev, Newcastle University, GB
P. De Koninck, J. De Weerdt
Determining the Number of Trace Clusters: a Stability-based Approach
T. Tapia-Flores, E. Rodr guez-Perez, E. Lopez-Mellado
Discovering Process Models from Incomplete Event Logs
using Conjoint Occurrence Classes
B. Meis, R. Bergenthum, J. Desel
Synthesis of Elementary Net Systems with Final Con gurations
G. Juhas, R. Lorenz
Synthesis of bounded Petri Nets from Prime Event Structures
with Cutting Context
S. A. Shershakov, A. A. Kalenkova, I. A. Lomazova
Transition Systems Reduction: Balancing between
Precision and Simplicity
M. T. Gomez-Lopez, D. Borrego, J. Carmona, R. M. Gasca
Computing Alignments with Constraint Programming:
The Acyclic Case
K. Barylska, E. Best
Properties of Plain, Pure, and Safe Petri Nets
- with some Applications to Petri Net Synthesis
J. Holderer, J. Carmona, G. Muller
Security-Sensitive Tackling of Obstructed Work ow Executions
G. Janssenswillen, B. Depaire, T. Jouck
Calculating the Number of Unique Paths in a
Block-Structured Process Model
1 - 15
16 - 30
31 - 46
47 - 57
58 - 77
78 - 95
96 - 110
111 - 125
126 - 137
138 - 152</p>
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