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Anomaly Detection Based on Sensor Data in Petroleum Industry Applications

Anomaly detection is the problem of finding patterns in data that do not conform to an a priori expected behavior. This is related to the problem in which some samples are distant, in terms of a given metric, from the rest of the dataset, where these anomalous samples are indicated as outliers. Anom...

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Detalles Bibliográficos
Autores principales: Martí, Luis, Sanchez-Pi, Nayat, Molina, José Manuel, Garcia, Ana Cristina Bicharra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367333/
https://www.ncbi.nlm.nih.gov/pubmed/25633599
http://dx.doi.org/10.3390/s150202774

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