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Unsupervised Anomaly Detection for Intermittent Sequences Based on Multi-Granularity Abnormal Pattern Mining

In the actual maintenance of manufacturing enterprises, abnormal changes in after-sale parts demand data often make the inventory strategies unreasonable. Due to the intermittent and small-scale characteristics of demand sequences, it is difficult to accurately identify the anomalies in such sequenc...

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Detalles Bibliográficos
Autores principales:	Fan, Lilin, Zhang, Jiahu, Mao, Wentao, Cao, Fukang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857523/ https://www.ncbi.nlm.nih.gov/pubmed/36673264 http://dx.doi.org/10.3390/e25010123

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