Online conformance checking using behavioural patterns

Andrea Burattin, Sebastiaan J. van Zelst, Abel Armas-Cervantes, Boudewijn F. van Dongen, Josep Carmona

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

42 Citaten (Scopus)


New and compelling regulations (e.g., the GDPR in Europe) impose tremendous pressure on organizations, in order to adhere to standard procedures, processes, and practices. The field of conformance checking aims to quantify the extent to which the execution of a process, captured within recorded corresponding event data, conforms to a given reference process model. Existing techniques assume a post-mortem scenario, i.e. they detect deviations based on complete executions of the process. This limits their applicability in an online setting. In such context, we aim to detect deviations online (i.e., in-vivo), in order to provide recovery possibilities before the execution of a process instance is completed. Also, current techniques assume cases to start from the initial stage of the process, whereas this assumption is not feasible in online settings. In this paper, we present a generic framework for online conformance checking, in which the underlying process is represented in terms of behavioural patterns and no assumption on the starting point of cases is needed. We instantiate the framework on the basis of Petri nets, with an accompanying new unfolding technique. The approach is implemented in the process mining tool ProM, and evaluated by means of several experiments including a stress-test and a comparison with a similar technique.

Originele taal-2Engels
TitelBusiness Process Management - 16th International Conference, BPM 2018, Proceedings
RedacteurenMarco Montali, Ingo Weber, Mathias Weske, Jan vom Brocke
Plaats van productieCham
Aantal pagina's18
ISBN van elektronische versie978-3-319-98648-7
ISBN van geprinte versie978-3-319-98647-0
StatusGepubliceerd - 1 jan. 2018
Evenement16th International Conference on Business Process Management (BPM 2018) - Sydney, Australië
Duur: 9 sep. 201814 sep. 2018
Congresnummer: 16

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11080 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349


Congres16th International Conference on Business Process Management (BPM 2018)
Verkorte titelBPM 2018
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