Synthetic event logs for multi-perspective trace clustering
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).
DFG subject classification
4.43-06 Datenmanagement, datenintensive Systeme, Informatik-Methoden in der WirtschaftsinformatikRelated third party funded projects
HMWK/LOEWE | 522/17-04 | DRUP: Deep ReasoningBund/BMBF | 01IS17050 | Software Campus 2.0
Related Resources
- Is supplement to: DOI:10.1007/978-3-319-98648-7_17
Collections
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ISY_datasets [4]
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Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0