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


RIS


BibTeX

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.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Softwaretechnik-Trends
Language English
Title Mining Resource Assignments and Teamwork Compositions from Process Logs
Volume 36
Number 4
Year 2016
Page from 1
Page to 6
Reviewed? Y
URL http://pi.informatik.uni-siegen.de/stt/36_4/./03_Technische_Beitraege/Schoenig_et_al_2016.pdf
DOI n.a.

Associations

People
Cabanillas Macias, Cristina (Details)
Di Ciccio, Claudio (Former researcher)
Mendling, Jan (Details)
External
Jablonski, Stefan (University of Bayreuth, Germany)
Schönig, Stefan (University of Bayreuth, Germany)
Organization
Applied Information Technology with Focus on IT in Organization (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1105 Computer software (Details)
1108 Informatics (Details)
1109 Information and data processing (Details)
5306 Business data processing (Details)
5367 Management information systems (Details)
Google Scholar: Search