Mining Resource Assignments and Teamwork Compositions from Process Logs

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

Publication: Scientific journalJournal articlepeer-review

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Abstract

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.
Original languageEnglish
Pages (from-to)1 - 6
JournalSoftwaretechnik-Trends
Volume36
Issue number4
Publication statusPublished - 2016

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102022 Software development
  • 102 not use (legacy)
  • 502 not use (legacy)
  • 502050 Business informatics

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