Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
miel:start [2019/05/21 11:06]
gjn [IMPORTANT DATES] ext
miel:start [2020/06/23 10:37] (current)
gjn [MIEL 2020 information]
Line 1: Line 1:
-====== Methods for Interpretation of Industrial Event Logs (MIEL2019) ======+====== 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 is a yearly organized workshop regarding intelligent methods for interpretation of industrial event logs.
Line 5: Line 5:
 MIEL webpage is [[http://​miel.geist.re]] MIEL webpage is [[http://​miel.geist.re]]
  
-The 2nd edition of MIEL 2019 is organized at the [[https://​bpm2019.ai.wu.ac.at/​|17th Int. Conference on Business Process Management (BPM 2019)]]+The 3rd edition of MIEL 2020 is organized at the [[http://​islab.di.uminho.pt/​ideal2020/​|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 [[miel2019|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. 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}} Refer to the {{ :​miel:​miel2019-cfp-v3.pdf | Call for papers}}
Line 13: Line 17:
 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 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 ​=====+===== MIEL 2020 information ​=====
  
-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 tothe 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.+3rd Workshop on Methods ​for Interpretation ​of Industrial Event Logs (MIEL2020)\\ 
 +MIEL webpage is [[http://​miel.geist.re]]
  
-===== TOPICS OF INTEREST ===== +co-located ​with IDEAL 2020 
-include (but not limited to): +[[http://​islab.di.uminho.pt/​ideal2020|21st International Conference ​on Intelligent Data Engineering and Automated Learning]] 
-  * activity recognition in the industrial setting +4th-6th November 2020, Guimarães, Portugal ​
-  * 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 ===== +CHAIRS:\\ 
-We encourage the submission of full research papers up to 12 pagesas well as short papers (up to 6 pages) discussing early research proposalsor giving an overview ​of specific methods ​and tools applicable for the problems considered in the workshopas 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”. Alsoplease follow the Springer LNBIP template to format the paper. ​The LNBIP proceedings will be prepared as post-proceedings.+Grzegorz J. NalepaJagiellonian UniversityPoland, 
 +David Camacho, Universidad Politecnica de Madrid, Spain, 
 +Edyta Brzychczy, AGH University ​of Science ​and TechnologyPoland, 
 +Confalonieri Roberto, Free Univeristy ​of Bozen-Bolzano,​ Italy, 
 +Martin Atzmüller, Tilburg University, The Netherlands,​ 
 +Montali Marco, Free Univeristy of Bozen-Bolzano, Italy.
  
 +{{ :​miel:​miel2020cfp2.pdf |Call for papers}}
 +===== Description =====
  
-===== IMPORTANT DATES ===== +The objective of the workshop is to discuss novel intelligent data analysis methods suitable for the analysis and interpretation of industrial event logsWe aim to include and possibly combine two distinct perspectivesThe first uses methods from data mining and computational intelligenceThe second uses background domain knowledge for conceptual analysisWe would like to focus on (but not limit tothe applications of the mentioned methods according to those two perspectives to Industry 4.0In this setting, the source of the event logs would be industrial machinery, but also possibly personnel or activity monitoring devices.
-  - Paper submission: <​del>​24.05.2019</​del>​ 31.05.2019 (extended +
-  - Notification: ​           28.06.2019 +
-  - Camera-ready: ​      12.07.209 +
-  - Workshop: ​             02.09.2019+
  
 +===== 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
  
-===== PROGRAM COMMITTEE ​=====+===== 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\\ Andrea Burattin, Technical University of Denmark, Denmark\\
-Szymon Bobek, ​AGH University ​of Science and Technology, Poland\\+Szymon Bobek, ​Jagiellonian ​University, Poland\\
 Josep Carmona, Universitat Politècnica de Catalunya, Spain\\ Josep Carmona, Universitat Politècnica de Catalunya, Spain\\
 Diego Calvanese, Free Univeristy of Bozen-Bolzano,​ Italy\\ 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\\ Dirk Fahland, Technical University in Eindhoven, The Netherlands\\
 Felix Mannhardt, SINTEF, Norway\\ Felix Mannhardt, SINTEF, Norway\\
Line 56: Line 85:
 Rushed Kanawati, Université Sorbonne Paris Cité, France\\ Rushed Kanawati, Université Sorbonne Paris Cité, France\\
 Benjamin Kloepper, ABB, Germany\\ Benjamin Kloepper, ABB, Germany\\
-Víctor Rodríguez, Universidad ​Autónoma ​de Madrid, Spain\\ +Alberto Mozo, Universidad ​Politécnica ​de Madrid, Spain\\ 
-Dominik Ślęzak, University ​of WarsawPoland\\+Cristian Ramirez AtenciaOtto-von-Guericke ​University, ​Germany\\ 
 +Víctor Rodríguez, Universidad Politécnica de Madrid, Spain\\
 Jose Tomas Palma Mendez, Universidad de Murcia, Spain\\ Jose Tomas Palma Mendez, Universidad de Murcia, Spain\\
-Christopher Turner, University of Surrey, ​UK \\ +Marcin Szpyrka, AGH University of Science and Technology, Poland\\ 
-Marcin Szpyrka, AGH University ​of Science and TechnologyPoland+Christopher Turner, University of Surrey, ​UK \\ 
 + 
 + 
 + 
 +====== Methods for Interpretation ​of Industrial Event Logs (MIEL2019) ====== 
 + 
 +The 2nd edition of [[miel2019|MIEL 2019]] was organized at the [[https://​bpm2019.ai.wu.ac.at/​|17th Int. Conference on Business Process Management (BPM 2019)]] 
 +by Grzegorz J. NalepaDavid Camacho, Edyta Brzychczy, Roberto Confalonieri,​ Martin Atzmueller, Marco Montali.
  
-===== OTHER ACTIVITIES ===== +See the [[miel2019|separate page for the 1st edition ​of (MIEL2019)]].
-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.+
  
 ====== Methods for Interpretation of Industrial Event Logs (MIEL2018) ====== ====== Methods for Interpretation of Industrial Event Logs (MIEL2018) ======
miel/start.1558429568.txt.gz · Last modified: 2019/05/21 11:06 by gjn
Driven by DokuWiki Recent changes RSS feed Valid CSS Valid XHTML 1.0