posted by user: gabrieltavares || 2645 views || tracked by 3 users: [display]

ML4PM 2021 : 2nd International Workshop on Leveraging Machine Learning in Process Mining

FacebookTwitterLinkedInGoogle

Link: http://ml4pm2021.di.unimi.it/
 
When Oct 31, 2021 - Nov 4, 2021
Where Eindhoven, the Netherlands
Abstract Registration Due Aug 19, 2021
Submission Deadline Aug 26, 2021
Notification Due Sep 16, 2021
Final Version Due Sep 30, 2021
Categories    process mining   machine learning   business process management   process science
 

Call For Papers

SECOND INTERNATIONAL WORKSHOP ON LEVERAGING MACHINE LEARNING IN PROCESS MINING
ML4PM 2021 - October 31-November 4, 2021 - Eindhoven, the Netherlands
http://ml4pm2021.di.unimi.it

AN ACTIVITY FROM THE IEEE TASK FORCE ON PROCESS MINING (https://www.tf-pm.org/)


### About ML4PM
The interest in combining Machine Learning and 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 Eindhoven, 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.

### 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

Contributions to all calls should be submitted electronically to the Workshop management system connecting to https://easychair.org/my/conference?conf=icpm2021. At least one author of each accepted paper is expected to participate in the conference and present his/her work.

Submissions must be original contributions that have not been published previously. Authors are requested to prepare submissions according to the format of the Lecture Notes in Business Information Processing (LNBIP) series by Springer (http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0). Submissions must be in English and must not exceed 12 pages (including figures, bibliography and appendices). Each paper should contain a short abstract, clarifying the relation of the paper with the workshop topics, clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to the literature.

**Registrations** are managed by the ICPM system (https://icpmconference.org/2021/registration/)


### Important Dates

Abstract Submission: August 19, 2021
Paper Submission: August 26, 2021
Notification of Acceptance: September 16, 2021
Submission of Camera Ready Papers: September 30, 2021
Workshop: November 1, 2021
Post-workshop Camera-Ready Papers: November 16, 2021



### 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

Matthias Ehrendorfer, University of Vienna
Sarajane Marques Peres, University of São Paulo
Luís Paulo Faina Garcia, University of Brasilia
Michelangelo Ceci, University of Bari Aldo Moro
Gabriel Marques Tavares, Università degli Studi di Milano
Domenico Potena , Università Politechnica delle Marche
Antonella Guzzo, Università della Calabria
Natalia Sidorova, Eindhoven University of Technology
Irene Teinemaa, Booking.com
Wil van der Aalst, RWTH Aachen University
María Teresa Gómez, University of Seville
Mariangela Lazoi, University of Salento
Emerson Cabrera Paraiso, Pontifícia Universidade Católica do Paraná
Bruno Bogaz Zarpelão, State University of Londrina
Chiara Di Francescomarino, Fondazione Bruno Kessler
Fabrizio Maria Maggi, Free University of Bozen-Bolzano

Related Resources

ICDM 2024   IEEE International Conference on Data Mining
IEEE COINS 2024   IEEE COINS 2024 - London, UK - July 29-31 - Hybrid (In-Person & Virtual)
DataMod 2024   12th International Symposium DataMod 2024: From Data to Models and Back
ECAI 2024   27th European Conference on Artificial Intelligence
ICMLA 2024   23rd International Conference on Machine Learning and Applications
BDCAT 2024   IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
AIM@EPIA 2024   Artificial Intelligence in Medicine