Methods for Interpretation of Industrial Event Logs Workshop (MIEL2020)

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

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

The 3rd edition of MIEL 2020 is organized at the 21st International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2020, 4th-6th November 2020, Guimarães, Portugal by Grzegorz J. Nalepa, David Camacho, Edyta Brzychczy, Roberto Confalonieri, Martin Atzmueller, Marco Montali.

The 2nd edition of MIEL 2019 was organized at the 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 Call for papers

The 1st edition (MIEL2018) was organized by: Grzegorz J. Nalepa, David Camacho, Edyta Brzychczy, Robert Confalonieri, Martin Atzmueller at the IDEAL 2018: 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING, November 21-23, Madrid, Spain

MIEL 2020 information

3rd Workshop on Methods for Interpretation of Industrial Event Logs (MIEL2020)
MIEL webpage is http://miel.geist.re

co-located with IDEAL 2020 21st International Conference on Intelligent Data Engineering and Automated Learning 4th-6th November 2020, Guimarães, Portugal

CHAIRS:
Grzegorz J. Nalepa, Jagiellonian University, Poland, David Camacho, Universidad Politecnica de Madrid, Spain, Edyta Brzychczy, AGH University of Science and Technology, Poland, Confalonieri Roberto, Free Univeristy of Bozen-Bolzano, Italy, Martin Atzmüller, Tilburg University, The Netherlands, Montali Marco, Free Univeristy of Bozen-Bolzano, Italy.

Call for papers

Description

The objective of the 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

  • 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 MIEL2020: https://easychair.org/conferences/?conf=miel2020 Also, please follow the Springer LNCS template to format the paper.

Proceedings

We are aiming at preparing CEUR-WS post workshop proceedings. Furthermore, we will propose at least two JCR journal options, for the extended versions of the workshop papers.

Dates

  • Paper submission: 30.06.2020
  • Notification: 12.07.2020
  • Camera-ready: 31.07.2020
  • Workshop: 04-6.11.2020

Program Committee

Andrea Burattin, Technical University of Denmark, Denmark
Szymon Bobek, Jagiellonian University, Poland
Josep Carmona, Universitat Politècnica de Catalunya, Spain
Diego Calvanese, Free Univeristy of Bozen-Bolzano, Italy
Ludovik Coba, Free University of Bozen-Bolzano, Italy
Antonio González Pardo, Universidad Rey Juan Carlos, Spain
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
Alberto Mozo, Universidad Politécnica de Madrid, Spain
Cristian Ramirez Atencia, Otto-von-Guericke University, Germany
Víctor Rodríguez, Universidad Politécnica de Madrid, Spain
Jose Tomas Palma Mendez, Universidad de Murcia, Spain
Marcin Szpyrka, AGH University of Science and Technology, Poland
Christopher Turner, University of Surrey, UK

Methods for Interpretation of Industrial Event Logs (MIEL2019)

The 2nd edition of MIEL 2019 was organized at the 17th Int. Conference on Business Process Management (BPM 2019) by Grzegorz J. Nalepa, David Camacho, Edyta Brzychczy, Roberto Confalonieri, Martin Atzmueller, Marco Montali.

See the separate page for the 1st edition of (MIEL2019).

Methods for Interpretation of Industrial Event Logs (MIEL2018)

The 1st edition (MIEL2018) was organized by: Grzegorz J. Nalepa, David Camacho, Edyta Brzychczy, Robert Confalonieri, Martin Atzmueller at the IDEAL 2018: 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING, November 21-23, Madrid, Spain

See the separate page for the 1st edition of (MIEL2018).

miel/start.txt · Last modified: 2020/06/23 10:37 by gjn
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