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Adapting Association Rule Mining to Discover Patterns of Collaboration in Process Logs

Titelangaben

Schönig, Stefan ; Zeising, Michael ; Jablonski, Stefan:
Adapting Association Rule Mining to Discover Patterns of Collaboration in Process Logs.
In: Carminati, Barbara (Hrsg.): 8th International Conference on Collaborative Computing : Networking, Applications and Worksharing (Collaboratecom 2012). - Piscataway, NJ , 2012 . - S. 531-534
ISBN 9781467327404
DOI: https://doi.org/10.4108/icst.collaboratecom.2012.250346

Abstract

The execution order of work steps within business processes is influenced by several factors, like the organizational position of performing agents, document flows or temporal dependencies. Lately, process mining techniques are more and more successfully used to discover execution orders from process execution logs automatically. Although, these techniques have been applied in various domains, the methods are mostly discovering the execution order of process steps without facing possible coherency with other perspectives of business processes, i.e., other types of process execution data. The reasons, e.g., for a given execution order, remain mostly undiscovered. In this paper, we propose a method to discover cross-perspective collaborative patterns in process logs and therefore strive for a genotypic anal-ysis of recorded process data. For this purpose, we adapted the association rule mining algorithm to analyse execution logs. The resulting rules can be used for guiding users through collabora-tive process execution.

Weitere Angaben

Publikationsform: Aufsatz in einem Buch
Begutachteter Beitrag: Ja
Keywords: organisational aspects; business data processing; data mining; document handling; groupware
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV
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
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Eingestellt am: 07 Dec 2017 10:11
Letzte Änderung: 07 Dec 2017 10:11
URI: https://eref.uni-bayreuth.de/id/eprint/34900