TY  - JOUR
A1  - Grüger, Joscha
A1  - Kuhn, Martin
A1  - Bergmann, Ralph
T1  - Reconstructing invisible deviating events: A conformance checking approach for recurring events
T2  - Mathematical Biosciences and Engineering
N2  - Conformance checking enables organizations to determine whether their executed processes are compliant with the intended process. However, if the processes contain recurring activities, state-of-the-art approaches unfortunately have difficulties calculating the conformance. The occurrence of complex temporal rules can further increase the complexity of the problem. Identifying this limitation, this paper presents a novel approach towards dealing with recurring activities in conformance checking. The core idea of the approach is to reconstruct the missing events in the event log using defined rules while incorporating specified temporal event characteristics. This approach then enables the use of native conformance checking algorithms. The paper illustrates the algorithmic approach and defines the required temporal event characteristics. Furthermore, the approach is applied and evaluated in a case study on an event log for melanoma surveillance.
KW  - process mining
KW  - conformance checking
KW  - recurring events
KW  - invisible deviating events
KW  - event reconstruction
KW  - event log preprocessing
KW  - Prozessanalyse
KW  - Konformitätsprüfung
Y1  - 2022
UR  - https://ubt.opus.hbz-nrw.de/frontdoor/index/index/docId/2018
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:385-1-20187
VL  - 2022
IS  - Band 19, Heft 11 (2022)
PB  - AIMS Press
CY  - Springfield
ER  -