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Extended synthetic event logs for multi-perspective trace clustering

dc.contributor.authorSeeliger, Alexander
dc.contributor.authorLüttgen, Stefan
dc.contributor.authorMühlhäuser, Max
dc.contributor.authorNolle, Timo
dc.date.accessioned2020-07-12T13:42:49Z
dc.date.available2020-07-12T13:42:49Z
dc.date.issued2020-05-30
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2415
dc.descriptionThe data set contains an extended 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). The extended dataset contains more noise levels as well as a different generation process regarding the case attributes.en_US
dc.rightsCreative Commons Attribution 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectEvent logen_US
dc.subjectProcess miningen_US
dc.subjectSyntheticen_US
dc.subjectTrace clusteringen_US
dc.subject.classification409-06 Informationssysteme, Prozess- und Wissensmanagementen_US
dc.subject.ddc004
dc.titleExtended synthetic event logs for multi-perspective trace clusteringen_US
dc.typeDataseten_US
tud.projectDLR | 01IS18022D | KI.RPAen_US


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