The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/12708839

Bemthuis, Rob; M. (Martijn) Koot; Mes, M.R.K. (Martijn); F.A. (Faiza) Bukhsh; Iacob, M.E. (Maria-Eugenia) et. al. (2021): Data underlying the paper: An agent-based process mining architecture for emergent behavior analysis. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/12708839.v2

Dataset

x choose version: version 1 - 2019-08-27

• Business and Management
• Information Systems

Discrete event simulation, Emergent behavior, Event logs, Job-shop, Multi-agent system, Process mining, Supply chain logistics

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Rob Bemthuis , M. (Martijn) Koot , M.R.K. (Martijn) Mes , F.A. (Faiza) Bukhsh , M.E. (Maria-Eugenia) Iacob , N. (Nirvana) Meratnia

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.

• 2019-08-27 first online

• 2021-06-07 published, posted

4TU.Centre for Research Data

media types: application/zip, text/plain, text/xml

An agent-based process mining architecture for emergent behavior analysis

• https://research.utwente.nl/en/publications/an-agent-based-process-mining-architecture-for-emergent-behavior-
• https://doi.org/10.1109/EDOCW.2019.00022

• NWO, 628.009.015

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, Pervasive Systems Group
University of Twente, Faculty Of Electrical Engineering, Mathematics and Computer Science, Datamanagement & Biometrics Group