Extended Isolation Forest

We present an extension to the model-free anomaly detection algorithm, Isolation Forest. This extension, named Extended Isolation Forest (EIF), resolves issues with assignment of anomaly score to given data points. We motivate the problem using heat maps for anomaly scores. These maps suffer from ar...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 33; H. 4; S. 1479 - 1489
Hauptverfasser:	Hariri, Sahand, Kind, Matias Carrasco, Brunner, Robert J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Anomalies Anomaly detection Clustering algorithms Data points Datasets Distributed databases Forestry Heating systems Hyperplanes isolation forest Slicing Vegetation
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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