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A Framework for Learning Event Sequences and Explaining Detected Anomalies in a Smart Home Environment
This paper presents a framework for learning event sequences for anomaly detection in a smart home environment. It addresses environment conditions, device grouping, system performance and explainability of anomalies. Our method models user behavior as sequences of events, triggered by interaction o...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619011/ https://www.ncbi.nlm.nih.gov/pubmed/36338828 http://dx.doi.org/10.1007/s13218-022-00775-5 |