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A Framework for Efficiently Mining the Organisational Perspective of Business Processe

Titelangaben

Schönig, Stefan ; Cabanillas, Cristina ; Jablonski, Stefan ; Mendling, Jan:
A Framework for Efficiently Mining the Organisational Perspective of Business Processe.
In: Decision Support Systems. Bd. 89 (September 2016) . - S. 87-97.
ISSN 1873-5797
DOI: https://doi.org/10.1016/j.dss.2016.06.012

Volltext

Link zum Volltext (externe URL): Volltext

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, which 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 do not aim at providing efficient solutions; or (iii) the discovered process models are difficult to read due to the number of assignment conditions included.

In this paper we address these problems and develop an efficient and effective process mining framework that provides extensive support for the discovery of patterns related to resource assignment. The framework is validated in terms of performance and applicability.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: Business process management; Declarative process mining; Event log analysis; Organisational perspective; Resource perspective
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV > Lehrstuhl Angewandte Informatik IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Eingestellt am: 17 Okt 2017 09:03
Letzte Änderung: 17 Okt 2017 09:03
URI: https://eref.uni-bayreuth.de/id/eprint/34091