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

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

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

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.

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

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.

1. Paper submission: 24.05.2019 31.05.2019 (extended)
2. Notification: 28.06.2019
3. Camera-ready: 12.07.209
4. Workshop: 02.09.2019

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

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.