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

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