The mean and standard deviation TPR for the anomaly detection algorithms.
- plos.figshare.com
xlsUpdated Jun 10, 2023
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EmailClick to copy linkLink copiedCiteFiruz Kamalov; Hana Sulieman; David Santandreu Calonge (2023). The mean and standard deviation TPR for the anomaly detection algorithms. [Dataset]. http://doi.org/10.1371/journal.pone.0254340.t002xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0254340.t002Dataset updatedJun 10, 2023AuthorsFiruz Kamalov; Hana Sulieman; David Santandreu CalongeLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe results represent experiments on four datasets based on 20 simulated experiments. The proposed method (NewAlgo) produces the best overall results.
- f
The mean TPR for the anomaly detection algorithms.
- plos.figshare.com
xlsUpdated Jun 10, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFiruz Kamalov; Hana Sulieman; David Santandreu Calonge (2023). The mean TPR for the anomaly detection algorithms. [Dataset]. http://doi.org/10.1371/journal.pone.0254340.t004xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0254340.t004Dataset updatedJun 10, 2023Dataset provided byPLOS ONEAuthorsFiruz Kamalov; Hana Sulieman; David Santandreu CalongeLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe results represent experiments on four datasets based on 20 simulated experiments and the class size of 220. The proposed method (NewAlgo) produces the best overall results.
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The results represent experiments on four datasets based on 20 simulated experiments. The proposed method (NewAlgo) produces the best overall results.