at Google ScholarTitle data
Schönig, Stefan ; Zeising, Michael ; Jablonski, Stefan:
Adapting Association Rule Mining to Discover Patterns of Collaboration in Process Logs.
In: Carminati, Barbara
(ed.):
8th International Conference on Collaborative Computing : Networking, Applications and Worksharing (Collaboratecom 2012). -
Piscataway, NJ
,
2012
. - pp. 531-534
ISBN 978-1-4673-2740-4
DOI: https://doi.org/10.4108/icst.collaboratecom.2012.250346
Abstract in another language
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.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | organisational aspects; business data processing; data mining; document handling; groupware |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV 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 |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Date Deposited: | 07 Dec 2017 10:11 |
| Last Modified: | 27 Jan 2023 07:39 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/34900 |