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A Pattern Dictionary Method for Anomaly Detection

In this paper, we propose a compression-based anomaly detection method for time series and sequence data using a pattern dictionary. The proposed method is capable of learning complex patterns in a training data sequence, using these learned patterns to detect potentially anomalous patterns in a tes...

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Detalles Bibliográficos
Autores principales: Sabeti, Elyas, Oh, Sehong, Song, Peter X. K., Hero, Alfred O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407188/
https://www.ncbi.nlm.nih.gov/pubmed/36010758
http://dx.doi.org/10.3390/e24081095

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