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Supporting Rule-Based Process Mining by User-Guided Discovery of Resource-Aware Frequent Patterns

Titelangaben

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 , 2014 . - 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: 07 Dec 2017 08:39
URI: https://eref.uni-bayreuth.de/id/eprint/34114