at Google ScholarTitle data
Schönig, Stefan ; Gillitzer, Florian ; Zeising, Michael ; Jablonski, Stefan:
Supporting Rule-Based Process Mining by User-Guided Discovery of Resource-Aware Frequent Patterns.
In: Toumani, Farouk
(ed.):
Service-oriented computing - ICSOC 2014 Workshops. -
Cham
: Springer
,
2015
. - pp. 108-119
. - (Lecture Notes in Computer Science
; 8954
)
ISBN 978-3-319-22885-3
DOI: https://doi.org/10.1007/978-3-319-22885-3_10
Abstract in another language
Agile processes depend on human resources, decisions and expert knowledge and are especially versatile and comprise rather complex coherencies. Rule-based process models are well-suited for modelling these processes. There exist a number of process mining approaches to discover rule-based process models from event logs. However, existing rule-based approaches are typically based on a given set of rule templates and predominately consider control flow aspects. By only considering a given set of templates, contemporary approaches underlie a representational bias. The usage of a fixed language frequently ends into insuffcient languages. In this paper we propose an approach to automatically suggest adequate resource-aware rule templates for a given domain by pre-processing the provided event log using frequent pattern mining techniques. These templates can then be instantiated and checked by process mining methods.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Rule-based process mining; Resource-aware process mining; Frequent pattern mining |
| 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: | 07 Dec 2017 08:39 |
| Last Modified: | 12 Sep 2022 12:21 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/34114 |