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usfAD: a robust anomaly detector based on unsupervised stochastic forest

Crossref DOI link: https://doi.org/10.1007/s13042-020-01225-0

Published Online: 2020-11-02

Published Print: 2021-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Aryal, Sunil

Santosh, K.C. https://orcid.org/0000-0003-4176-0236
Dazeley, Richard
License Information

Text and Data Mining valid from 2020-11-02

Version of Record valid from 2020-11-02
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Article History

Received: 11 April 2020

Accepted: 16 October 2020

First Online: 2 November 2020

Compliance with ethical standards

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: Authors declare no conflict of interest.