Vol-2432
urn:nbn:de:0074-2432-3

Copyright © 2019 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

ICPM-DC 2019
ICPM Doctoral Consortium 2019

Proceedings of the ICPM 2019 Doctoral Consortium
co-located with 1st International Conference on Process Mining (ICPM 2019)

Aachen, Germany, June 23, 2019.

Edited by

Boudewijn van Dongen *
Jan Claes **

* Eindhoven University of Technology, Department of Mathematics and Computer Science, Eindhoven, The Netherlands
** Ghent University, Faculty of Economics and Business Administration, Ghent, Belgium

Table of Contents

Preface
Enabling Operational Support in the Research Data Life Cycle
Mohammad Amin Yazdi
Enhancing the Quality of Predictions in Predictive Business Process Monitoring
Jongchan Kim
A Context-Aware Process Mining Predictive Model
Niyi Ogunbiyi, Artie Basukoski
Modelling and Validation of Trading and Multi-Agent Systems: An Approach Based on Process Mining and Petri Nets
Julio C. Carrasquel, Irina A. Lomazova
Data Quality in Process Mining: A Rule-based Approach
Ruud M.E. van Cruchten
Process Mining Meets GDPR Compliance: The Right to be Forgotten as a Use Case
Rashid Zaman, Marwan Hassani

2019-07-19: submitted by Boudewijn van Dongen, metadata incl. bibliographic data published under Creative Commons CC0
2019-08-27: published on CEUR-WS.org |valid HTML5|