MIEL 2018 webpage http://miel.geist.re
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 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.
Martin Atzmueller, Tilburg University, The Netherlands
Edyta Brzychczy, AGH University of Science and Technology, Poland
Andrea Burattin, Technical University of Denmark, Denmark
Szymon Bobek, AGH University of Science and Technology, Poland
David Camacho, Universidad Autonoma de Madrid, Spain
Josep Carmona, Universitat Politècnica de Catalunya, Spain
Diego Calvanese, Free Univeristy of Bozen-Bolzano, Italy
Robert Confalonieri, Free Univeristy of Bozen-Bolzano, Italy
Dirk Fahland, Technical University in Eindhoven, The Netherlands
Mannhardt Felix, SINTEF, Norway
Chiara Ghidini, FBK Trento, Italy
Rushed Kanawati, Université Sorbonne Paris Cité, France
Benjamin Kloepper, ABB, Germany
Marco Montali, Free Univeristy of Bozen-Bolzano, Italy
Jose Tomas Palma Mendez, Universidad de Murcia, Spain
Marcin Szpyrka, AGH University of Science and Technology, Poland
Workshop proceedings will be made available by IDEAL in Springer LNCS.