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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...
Autores principales: | Sabeti, Elyas, Oh, Sehong, Song, Peter X. K., Hero, Alfred O. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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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