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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
(Hrsg.):
Service-oriented computing - ICSOC 2014 Workshops. -
Cham
: Springer
,
2015
. - S. 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
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.
Weitere Angaben
| Publikationsform: | Aufsatz in einem Buch |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | Rule-based process mining; Resource-aware process mining; Frequent pattern mining |
| Institutionen der Universität: | 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 Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV |
| Titel an der UBT entstanden: | Ja |
| Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik |
| Eingestellt am: | 07 Dec 2017 08:39 |
| Letzte Änderung: | 12 Sep 2022 12:21 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/34114 |