OC-PM: analyzing object-centric event logs and process models

Object-centric process mining is a novel branch of process mining that aims to analyze event data from mainstream information systems (such as SAP) more naturally, without being forced to form mutually exclusive groups of events with the specification of a case notion. The development of object-cent...

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Vydané v:International journal on software tools for technology transfer Ročník 25; číslo 1; s. 1 - 17
Hlavní autori: Berti, Alessandro, van der Aalst, Wil M. P.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2023
Springer Nature B.V
Predmet:
Computer Science
Data science
Information systems
Packaging
Software Engineering
Software Engineering/Programming and Operating Systems
Theory of Computation
Object-centric event logs
Object-centric process mining
Object-centric process discovery
Object-centric conformance checking
ISSN:1433-2779, 1433-2787
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Popis
Shrnutí:Object-centric process mining is a novel branch of process mining that aims to analyze event data from mainstream information systems (such as SAP) more naturally, without being forced to form mutually exclusive groups of events with the specification of a case notion. The development of object-centric process mining is related to exploiting object-centric event logs, which includes exploring and filtering the behavior contained in the logs and constructing process models which can encode the behavior of different classes of objects and their interactions (which can be discovered from object-centric event logs). This paper aims to provide a broad look at the exploration and processing of object-centric event logs to discover information related to the lifecycle of the different objects composing the event log. Also, comprehensive tool support (OC-PM) implementing the proposed techniques is described in the paper.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1433-2779
1433-2787
DOI:10.1007/s10009-022-00668-w