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Carletti et al., 2020 - Google Patents

Interpretable anomaly detection with diffi: Depth-based isolation forest feature importance

Carletti et al., 2020

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Document ID
18195842759521768032
Author
Carletti M
Terzi M
Susto G
Publication year
Publication venue
arXiv preprint arXiv:2007.11117

External Links

Snippet

Anomaly Detection is an unsupervised learning task aimed at detecting anomalous behaviours with respect to historical data. In particular, multivariate Anomaly Detection has an important role in many applications thanks to the capability of summarizing the status of a …
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Classifications

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    • G06F17/30587—Details of specialised database models
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    • G—PHYSICS
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