Mining Resource Assignments and Teamwork Compositions from Process Logs

Schönig, Stefan and Cabanillas Macias, Cristina and Di Ciccio, Claudio and Jablonski, Stefan and Mendling, Jan (2016) Mining Resource Assignments and Teamwork Compositions from Process Logs. Softwaretechnik-Trends, 36 (4). pp. 1-6. ISSN 0720-8928


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Process 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.

Item Type: Article
Additional Information: This research was funded by the Austrian Research Promotion Agency (FFG), grant 845638 (SHAPE). The article is made publicly available via ePubWU with permission of the publisher and author(s).
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Mendling
Version of the Document: Published
Variance from Published Version: None
Depositing User: Elena Simukovic
Date Deposited: 08 Aug 2017 10:56
Last Modified: 08 Aug 2017 10:57
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