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A framework for efficiently mining the organisational perspective of business processes

Schönig, Stefan and Cabanillas Macias, Cristina and Jablonski, Stefan and Mendling, Jan (2016) A framework for efficiently mining the organisational perspective of business processes. Decision Support Systems, 89. pp. 87-97. ISSN 0167-9236

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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, 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.

Item Type: Article
Additional Information: This work is funded by the "Europäischer Fonds für regionale Entwicklung" (EFRE) under grant 1502/89304-01/2012 (KpPQ) and the Austrian Research Promotion Agency (FFG) under grant 845638 (SHAPE).
Keywords: business process management / declarative process mining / event log analysis / organisational perspective / resource perspective
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Mendling
Version of the Document: Accepted for Publication
Variance from Published Version: Typographical
Depositing User: Elena Simukovic
Date Deposited: 07 Aug 2017 14:36
Last Modified: 07 Aug 2017 17:05
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/78974/
URI: http://epub.wu.ac.at/id/eprint/5684

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