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Extended synthetic event logs for multi-perspective trace clustering

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dc.contributor.author Seeliger, Alexander
dc.contributor.author Lüttgen, Stefan
dc.contributor.author Mühlhäuser, Max
dc.contributor.author Nolle, Timo
dc.date.accessioned 2020-07-12T13:42:49Z
dc.date.available 2020-07-12T13:42:49Z
dc.date.created 2020-05-30
dc.date.issued 2020-07-12
dc.description The 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.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2415
dc.rights.licenseCC-BY-4.0 (https://creativecommons.org/licenses/by/4.0)
dc.subject Event log en_US
dc.subject Process mining en_US
dc.subject Synthetic en_US
dc.subject Trace clustering en_US
dc.subject.classification 4.43-06
dc.subject.ddc 004
dc.title Extended synthetic event logs for multi-perspective trace clustering en_US
dc.type Dataset en_US
dcterms.accessRights openAccess
person.identifier.orcid 0000-0002-0649-6225
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid 0000-0001-5114-8636
tuda.history.classification Version=2020-2024;409-06 Informationssysteme, Prozess- und Wissensmanagement
tuda.project DLR | 01IS18022D | KI.RPA

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