TADILOF: Time Aware Density-Based Incremental Local Outlier Detection in Data Streams

Outlier detection in data streams is crucial to successful data mining. However, this task is made increasingly difficult by the enormous growth in the quantity of data generated by the expansion of Internet of Things (IoT). Recent advances in outlier detection based on the density-based local outli...

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Detalles Bibliográficos
Autores principales: Huang, Jen-Wei, Zhong, Meng-Xun, Jaysawal, Bijay Prasad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602581/
https://www.ncbi.nlm.nih.gov/pubmed/33076325
http://dx.doi.org/10.3390/s20205829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602581/
https://www.ncbi.nlm.nih.gov/pubmed/33076325
http://dx.doi.org/10.3390/s20205829

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