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...

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Detalles Bibliográficos
Autores principales: Baudisch, Justin, Richter, Birte, Jungeblut, Thorsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Systems Description
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

Internet

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

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