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dc.contributor.authorSchreiber, Clemens
dc.contributor.editor
dc.date.accessioned2021-12-14T10:57:02Z
dc.date.available2021-12-14T10:57:02Z
dc.date.issued2021
dc.identifier.isbn978-3-88579-708-1
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/37637
dc.description.abstractAssuming a set of diverse process variants, information aggregation is used to provide an aggregated overview of the overall process. The main challenge is to provide a condensed but accurate overview, while avoiding redundant information. Although there exist different approaches for information aggregation, none of them actually consider the diversity of the multiple process variant attributes, such as resources, cost or duration. But this hinders from gaining an overview of the process diversity, i.e. the variance of multiple process attributes. Hence, valuable information regarding resource and time variability can get lost. Diversity measures can be used to evaluate the significance of a single process variant, based on multiple attributes. This short paper introduces existing diversity measures from different research disciplines and elaborates on their application in BPM for the purpose of information aggregation.en
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-314
dc.subjectBusiness process variants
dc.subjectProcess diversity
dc.subjectDelta analysis
dc.titleOn the notion of diversity in the context of information aggregation in BPMen
mci.reference.pages1561-1566
mci.conference.sessiontitleWorkshop: Stand und den Herausforderungen des Geschäftsprozessmanagements (ZuGPM
mci.conference.locationBerlin
mci.conference.date27. September - 1. Oktober 2021
dc.identifier.doi10.18420/informatik2021-130


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