Version 2

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

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

Description

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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.3

FAIR Score

73%

Citations

2

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

4TU.Centre for Research Data

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Management, Monitoring, Policy and Law

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

49%

Source

Scholar Data Model

Keywords

Information SystemsFOS: Computer and information sciencesBusiness and ManagementFOS: Economics and businessDiscrete event simulationEmergent behaviorEvent logsJob-shopMulti-agent systemProcess miningSupply chain logistics

Normalization Factors

FT

52.88

CTw

1.00

MTw

1.00