miel:miel2019 [GEIST Research Group]

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====== Methods for Interpretation of Industrial Event Logs (MIEL2019) ======

MIEL is a yearly organized workshop regarding intelligent methods for interpretation of industrial event logs.

MIEL webpage is [[http://miel.geist.re]]

====== MIEL 2019 ======

The 2nd edition of MIEL 2019 was organized at the [[https://bpm2019.ai.wu.ac.at/|17th Int. Conference on Business Process Management (BPM 2019)]]
by Grzegorz J. Nalepa, David Camacho, Edyta Brzychczy, Roberto Confalonieri, Martin Atzmueller, Marco Montali.
Refer to the {{ :miel:miel2019-cfp-v3.pdf | Call for papers}}

The [[miel2018|1st edition (MIEL2018)]] was
organized by: Grzegorz J. Nalepa, David Camacho, Edyta Brzychczy, Robert Confalonieri, Martin Atzmueller
at the [[https://aida.ii.uam.es/ideal2018/#!/content#workshops|IDEAL 2018: 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING]], November 21-23, Madrid, Spain

===== DESCRIPTION =====

The objective of this half-day workshop is to discuss novel intelligent data analysis methods suitable for the analysis and interpretation of industrial event logs. We aim to include and possibly combine two distinct perspectives. The first uses methods from data mining and computational intelligence. The second uses background domain knowledge for conceptual analysis. We would like to focus on (but not limit to) the applications of the mentioned methods according to those two perspectives to Industry 4.0. In this setting, the source of the event logs would be industrial machinery, but also possibly personnel or activity monitoring devices.

===== TOPICS OF INTEREST =====
include (but not limited to):
  * activity recognition in the industrial setting
  * anomaly detection on event log data
  * conceptual modeling of industrial processes
  * conformance checking of industrial process models
  * event logs abstraction methods
  * intelligent analysis of multi-sensor data 
  * industrial case studies with real-life complex event logs
  * industrial process modeling
  * knowledge graphs on event log data
  * network analysis on event log data
  * ontologies for industrial domains
  * ontology-based methods for event-log generation
  * supervised and unsupervised methods of log analysis
  * explainable models of event log analysis

===== SUBMISSION =====
We encourage the submission of full research papers up to 12 pages, as well as short papers (up to 6 pages) discussing early research proposals, or giving an overview of specific methods and tools applicable for the problems considered in the workshop, as well as practical projects in this area. Please use Easychair for submission for BPM 2019 https://easychair.org/conferences/?conf=bpm2019 with track “Workshop on Methods for Interpretation of Industrial Event Logs”. Also, please follow the Springer LNBIP template to format the paper. The LNBIP proceedings will be prepared as post-proceedings.


===== IMPORTANT DATES =====
  - Paper submission: <del>24.05.2019</del> 31.05.2019 (extended) 
  - Notification:            28.06.2019
  - Camera-ready:       12.07.209
  - Workshop:              02.09.2019


===== PROGRAM COMMITTEE =====

Andrea Burattin, Technical University of Denmark, Denmark\\
Szymon Bobek, AGH University of Science and Technology, Poland\\
Josep Carmona, Universitat Politècnica de Catalunya, Spain\\
Diego Calvanese, Free Univeristy of Bozen-Bolzano, Italy\\
Dirk Fahland, Technical University in Eindhoven, The Netherlands\\
Felix Mannhardt, SINTEF, Norway\\
Chiara Ghidini, FBK Trento, Italy\\
Rushed Kanawati, Université Sorbonne Paris Cité, France\\
Benjamin Kloepper, ABB, Germany\\
Víctor Rodríguez, Universidad Autónoma de Madrid, Spain\\
Dominik Ślęzak, University of Warsaw, Poland\\
Jose Tomas Palma Mendez, Universidad de Murcia, Spain\\
Christopher Turner, University of Surrey, UK \\
Marcin Szpyrka, AGH University of Science and Technology, Poland

===== OTHER ACTIVITIES =====
During the workshop we are planning to have an introductory talk, presentations of related-projects as well as a panel discussion; furthermore, an industrial session is considered.