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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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Principais autores: Fernando Montoya, Hernán Astudillo, Daniela Díaz, Esteban Berríos
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2024-10-01
Series:Entropy
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Acceso en liña:https://www.mdpi.com/1099-4300/26/10/867
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