An approach for unsupervised contextual anomaly detection and characterization

Outlier detection has been widely explored and applied to different real-world problems. However, outlier characterization that consists in finding and understanding the outlying aspects of the anomalous observations is still challenging. In this paper, we present a new approach to simultaneously de...

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Veröffentlicht in:	Intelligent data analysis 2022-09, Vol.26 (5), p.1185-1209
Hauptverfasser:	Boukela, Lynda, Zhang, Gongxuan, Yacoub, Meziane, Bouzefrane, Samia, Baba Ahmadi, Sajjad Bagheri
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Computer Science Data analysis Data points Outliers (statistics)
Online-Zugang:	Volltext
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