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A Framework for Efficiently Mining the Organisational Perspective of Business Processe

Title data

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

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Business process management; Declarative process mining; Event log analysis; Organisational perspective; Resource perspective
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 17 Oct 2017 09:03
Last Modified: 17 Oct 2017 09:03
URI: https://eref.uni-bayreuth.de/id/eprint/34091