A comparative evaluation of outlier detection algorithms: Experiments and analyses

•Experimental comparison and analysis of unsupervised outlier detection techniques.•Based on ROC, precision-recall, computation time, memory usage and robustness.•Extend a nonparametric Bayesian method to model numerical and categorical features.•Experiments make use of novel industrial datasets and...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Pattern recognition 2018-02, Vol.74, p.406-421
Hauptverfasser:	Domingues, Rémi, Filippone, Maurizio, Michiardi, Pietro, Zouaoui, Jihane
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science Fraud detection Isolation forest Machine Learning Novelty detection Outlier detection Statistics Variational inference
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!