Causal Learning: Monitoring Business Processes Based on Causal Structures

Conventional methods for process monitoring often fail to capture the causal relationships that drive outcomes, making hard to distinguish causal anomalies from mere correlations in activity flows. Hence, there is a need for approaches that allow causal interpretation of atypical scenarios (anomalie...

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Opis bibliograficzny

Główni autorzy:	Fernando Montoya, Hernán Astudillo, Daniela Díaz, Esteban Berríos
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2024-10-01
Seria:	Entropy
Hasła przedmiotowe:	causal graph causal attribution of anomalies causal attribution of distributional change business process monitoring business process mining
Dostęp online:	https://www.mdpi.com/1099-4300/26/10/867
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!