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usfAD: a robust anomaly detector based on unsupervised stochastic forest

journal contribution
posted on 2021-04-01, 00:00 authored by Sunil AryalSunil Aryal, KC SantoshKC Santosh, Richard DazeleyRichard Dazeley
usfAD: a robust anomaly detector based on unsupervised stochastic forest

History

Journal

International Journal of Machine Learning and Cybernetics

Volume

12

Issue

4

Pagination

1137 - 1150

Publisher

SPRINGER HEIDELBERG

Publisher DOI

ISSN

1868-8071

eISSN

1868-808X

Language

English

Author URL

Publication classification

C1 Refereed article in a scholarly journal

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    Research Publications

    Categories

    Keywords

    Science & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer ScienceMeasurement scales and unitsAnomaly detectionOutlier detectionRobust anomaly detectionIntrusion detectionSpam detectionAnd cyber securityINTERVALSUPPORTArtificial Intelligence and Image Processing

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    All Rights Reserved

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