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First International Workshop on Leveraging Machine Learning in Process Mining (ML4PM 2020) (International Conference on Process Mining (ICPM 2020))

Online
Organization: IEEE Task Force on Process Mining
Event: International Conference on Process Mining (ICPM 2020)
Categories: Science, Engineering, Miscellaneous
Event Date: 2020-10-05 to 2020-10-05 Abstract Due: 2020-08-18

FIRST INTERNATIONAL WORKSHOP ON LEVERAGING MACHINE LEARNING IN PROCESS MINING
ML4PM 2020 - 5 OCTOBER, 2020 - PADUA, ITALY
http://ml4pm2020.di.unimi.it

An activity from the IEEE Task Force on Process Mining on the International Conference on Process Mining (https://icpmconference.org/2020/)


About ML4PM
The interest in Machine Learning applications in Process Mining has seen increasing growth in the last few years along with the relevance of the ICPM conference. Thus, this workshop offers a focused environment to discuss new approaches, applications and their results to a wide audience, composed of researchers and practitioners. ML4PM will be held in online (due to covid-19), in conjunction with the ICPM conference.


Call for Papers
This workshop invites papers that present works that lay in the intersection between machine learning and process mining. The event provides a suitable environment to discuss new approaches presented by researchers and practitioners. Main themes include automated process modeling, predictive process mining, application of deep learning techniques and online process mining. The workshop will count with leading researchers, engineers and scientists who are actively working on these topics. Full papers must be written in English, not exceed 12 pages and must be an original contribution, not previously published or under review. Workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP).


Topics
Topics of interest for submission include, but are not limited to:

  • Outcome and time prediction
  • Classification and clusterization of business processes
  • Application of Deep Learning for PM
  • Stream mining for online process environments
  • Anomaly detection for PM
  • Natural Language Processing and Text Mining for PM
  • Multi-perspective analysis of processes
  • Machine Learning for robot process automation
  • Automated process modeling and updating
  • Conformance checking based on Machine Learning
  • Transfer Learning applied to business processes
  • IoT business services leveraged by Machine Learning
  • Multidimensional Process Mining
  • Predictive Process Mining
  • Prescriptive Learning in Process Mining
  • Convergence of Machine Learning and Blockchain in Process Mining

 


Submission Guidelines

Submissions must use the Springer LNCS/LNBIP ?format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). Submissions must be in English and cannot exceed 12 pages (including tables, figures, the bibliography and appendices). Each paper should clarify the relation of the paper to the workshop’s main topics, clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this workshop. Accepted papers will be presented during one of the workshop’s sessions and one author of each accepted paper must register and participate in the workshop.

 


Important Dates

Abstract Submission: August 18 2020
Paper Submission: August 25 2020
Notification of Acceptance: September 14 2020
Submission of Camera Ready Papers: September 22 2020
Workshop: October 5 2020


Organizers

  • Paolo Ceravolo, Università degli Studi di Milano, Italy (https://orcid.org/0000-0002-4519-0173)
  • Sylvio Barbon Jr., State University of Londrina, Brazil (https://orcid.org/0000-0002-4988-0702)
  • Annalisa Appice, Università degli Studi di Bari, Italy (https://orcid.org/0000-0001-9840-844X)


Program Committee

  • María Teresa Gómez, University of Seville
  • Rafael Accorsi, PwC Digital Services
  • Niek Tax, Booking.com
  • Josep Carmona, Universitat Politècnica de Catalunya
  • Ernesto Damiani, Khalifa University of Science Technology
  • Chiara Di Francescomarino, Fondazione Bruno Kessler
  • Antonella Guzzo, Università della Calabria
  • Mariangela Lazoi, University of Salento
  • Matthias Ehrendorfer, University of Vienna
  • Fabrizio Maria Maggi, University of Tartu
  • Paola Mello, Università di Bologna
  • Gabriel Marques Tavares, Università degli Studi di Milano
  • Emerson Cabrera Paraiso, Pontifícia Universidade Católica do Paraná
  • Bruno Bogaz Zarpelão, State University of Londrina
  • Irene Teinemaa, Booking.com
  • Michelangelo Ceci, University of Bari Aldo Moro
  • Natalia Sidorova, Eindhoven University of Technology

http://ml4pm2020.di.unimi.it/

paolo.ceravolo@unimi.it

Paolo Ceravolo