Data underlying the paper: An agent-based process mining architecture for emergent behavior analysis

Datacite citation style:
Bemthuis, Rob; M. (Martijn) Koot; Mes, M.R.K. (Martijn); F.A. (Faiza) Bukhsh; Iacob, M.E. (Maria-Eugenia) et. al. (2019): Data underlying the paper: An agent-based process mining architecture for emergent behavior analysis. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:9e430177-1dd0-40e9-b48a-8eb39124ef4c
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version: version 2 - 2021-06-07 (latest)
version 1 - 2019-08-27
The dataset contains a collection of experiment results and event logs generated. The experiment comprises a job-shop scheduling problem, implemented in a discrete-event simulation model. The raw experiment results are given from which event log files can be generated by following the steps as described in this data paper or the referred academic paper. A collection of event log files is given, as well as the raw files. The logs include the filtered part of the case study as presented in the paper "An agent-based process mining architecture for emergent behavior analysis" by Rob Bemthuis, Martijn Koot, Martijn Mes, Faiza Bukhsh, Maria-Eugenia Iacob, and Nirvana Meratnia.
history
  • 2019-08-27 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/zip, text/plain, text/xml
funding
  • NWO, 628.009.015
organizations
University of Twente, Faculty Of Electrical Engineering, Mathematics and Computer Science, Pervasive Systems Group;
University of Twente, Faculty Of Behavioural, Management and Social Sciences, Computer Science, Department Industrial Engineering and Business Information Systems;
University of Twente, Faculty Of Electrical Engineering, Mathematics and Computer Science, Datamanagement & Biometrics Group

DATA

files (1)