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Mining Resource Assignments and Teamwork Compositions from Process Logs

dc.contributor.authorSchönig, Stefan
dc.contributor.authorCabanillas, Cristina
dc.contributor.authorDi Ciccio, Claudio
dc.contributor.authorJablonski1, Stefan
dc.contributor.authorMendling, Jan
dc.date.accessioned2023-03-02T13:44:25Z
dc.date.available2023-03-02T13:44:25Z
dc.date.issued2016
dc.description.abstractProcess mining aims at discovering processes by extracting knowledge from event logs. Such knowledge may refer to different business process perspectives. The organisational perspective deals, among other things, with the assignment of human resources to process activities. Information about the resources that are involved in process activities can be mined from event logs in order to discover resource assignment conditions. This is valuable for process analysis and redesign. Prior process mining approaches in this context present one of the following issues: (i) they are limited to discovering a restricted set of resource assignment conditions; (ii) they are not fully efficient; (iii) the discovered process models are difficult to read due to the high number of assignment conditions included; or (iv) they are limited by the assumption that only one resource is responsible for each process activity and hence, collaborative activities are disregarded. To overcome these issues, we present an integrated process mining framework that provides extensive support for the discovery of resource assignment and teamwork patterns.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40629
dc.language.isoen
dc.publisherGeselllschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 36, Heft 4
dc.titleMining Resource Assignments and Teamwork Compositions from Process Logsen
dc.typeText/Journal Article
gi.citation.publisherPlaceBonn
gi.conference.sessiontitleTechnische Beiträge

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