| 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|