Data underlying the paper: Automated Discovery of Process Models from Event Logs: Review and Benchmark

Datacite citation style:
A. (Adriano) Augusto; R. (Raffaele) Conforti; M. (Marlon) Dumas; M. (Marcello) La Rosa; F.M. (Fabrizio Maria) Maggi et. al. (2019): Data underlying the paper: Automated Discovery of Process Models from Event Logs: Review and Benchmark. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:adc42403-9a38-48dc-9f0a-a0a49bfb6371
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset comprises the public event logs used in the study "Automated Discovery of Process Modelsfrom Event Logs: Review and Benchmark" by Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa,Fabrizio Maria Maggi, Andrea Marrella, Massimo Mecella, and Allar Soo. The dataset contains 12 publicly available of the event logs of the IEEE Task Force on Process Mining - Event Logs, of which 7 have been pre-processed to remove infrequent behavior.
history
  • 2019-06-14 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/x-gzip, application/zip, text/plain
funding
  • Australian Research Council, DP15010335
  • Estonian Research Council, IUT20-5
  • H2020-RISE EU project FIRST, 73459
  • NEPTIS, PON03PE_00214_3
  • RoMA - Resilience of Metropolitan Areas, SCN_00064
  • Sapienza grantDAKIP and the Italian projects Social Museum and SmartTourism, CTN01_00034_23154
organizations
TU Eindhoven, Department of Mathematics and Computer Science

DATA

files (2)