Mining team compositions for collaborative work in business processes

Stefan Schönig, Cristina Cabanillas Macias, Claudio Di Ciccio, Stefan Jablonski, Jan Mendling, Stefan Schönig

Publication: Scientific journalJournal articlepeer-review

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Process mining aims at discovering processes by extracting knowledge about their different perspectives from event logs. The resource perspective (or organisational perspective) deals, among others, with the assignment of resources to process activities. Mining in relation to this perspective aims to extract rules on resource assignments for the process activities. Prior research in this area is limited by the assumption that only one resource is responsible for each process activity, and hence, collaborative activities are disregarded. In this paper, we leverage this assumption by developing a process mining approach that is able to discover team compositions for collaborative process activities from event logs. We evaluate our novel mining approach in terms of computational performance and practical applicability.
Original languageEnglish
Pages (from-to)675 - 693
JournalSoftware & Systems Modeling
Issue number2
Publication statusPublished - 2018

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102022 Software development
  • 102
  • 502
  • 502050 Business informatics

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