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Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning.

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Title: Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning.
Authors: Das, Shubhomoy1, shubhomoy.das@wsu.edu, Islam, Md. Rakibul1, mdrakibul.islam@wsu.edu, Jayakodi, Nitthilan Kannappan1, n.kannappanjayakodi@wsu.edu, Doppa, Janardhan Rao1, jana.doppa@wsu.edu
Source: Journal of Artificial Intelligence Research; 2024, Vol. 80, p127-170, 44p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180396777
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Artificial+Intelligence+Research%22">Journal of Artificial Intelligence Research</searchLink>; 2024, Vol. 80, p127-170, 44p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180396777
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        Value: 10.1613/jair.1.14741
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 44
        StartPage: 127
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      – TitleFull: Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning.
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            NameFull: Das, Shubhomoy
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            NameFull: Islam, Md. Rakibul
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            NameFull: Jayakodi, Nitthilan Kannappan
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            NameFull: Doppa, Janardhan Rao
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            – D: 01
              M: 05
              Text: 2024
              Type: published
              Y: 2024
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              Value: 80
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            – TitleFull: Journal of Artificial Intelligence Research
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