Open Access

Synthetic event logs for multi-perspective trace clustering

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Files

multi-perspective-trace-clustering-ds2018.zip (210.05 MB)

Date

2020-05-25

Type

Dataset

Authors

Seeliger, AlexanderORCID 0000-0002-0649-6225
Nolle, TimoORCID 0000-0001-5114-8636
Mühlhäuser, Max

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

The data set contains a set of event logs for evaluating multi-perspective trace clustering approaches in process mining. Event logs were randomly generated from 5 different process models of different complexity levels. The attribute "cluster" refers to the ground truth label. Clusters can only be correctly identified when considering both, the data and the control flow perspective (attributes and trace).

Keywords

Event log, Process mining, Synthetic, Trace clustering

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2338

Endorsement

Related Resources

Is Supplement To
https://doi.org/10.1007/978-3-319-98648-7_17

DFG Classification

4.43-06 Datenmanagement, datenintensive Systeme, Informatik-Methoden in der Wirtschaftsinformatik

Project(s)

HMWK/LOEWE | 522/17-04 | DRUP: Deep Reasoning
Bund/BMBF | 01IS17050 | Software Campus 2.0

Faculty

Collections

ISY_datasets

License

CC BY 4.0 - Attribution 4.0 International
Except where otherwise noted, this license is described as CC BY 4.0 - Attribution 4.0 International