Synthetic event logs for multi-perspective trace clustering

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).

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2338
Related Identifier https://doi.org/10.1007/978-3-319-98648-7_17
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/2338
Provenance
Creator Seeliger, Alexander; Nolle, Timo; Mühlhäuser, Max
Publisher TU Darmstadt
Publication Year 2018
Rights Creative Commons Attribution 4.0; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://tudatalib.ulb.tu-darmstadt.de/page/contact
Representation
Resource Type Dataset
Format application/zip
Discipline Other