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Phishing Detection Using Random Forest-Based Weighted Bootstrap Sampling and LASSO+ Feature Selection.

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Title: Phishing Detection Using Random Forest-Based Weighted Bootstrap Sampling and LASSO+ Feature Selection.
Authors: Sarasjati, Wendy1, Rustad, Supriadi1, srustad@dsn.dinus.ac.id, Purwanto1, Santoso, Heru Agus1, Setiadi, De Rosal Ignatius Moses1
Source: International Journal of Safety & Security Engineering; Dec2024, Vol. 14 Issue 6, p1783-1794, 12p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182489227
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Safety+%26+Security+Engineering%22">International Journal of Safety & Security Engineering</searchLink>; Dec2024, Vol. 14 Issue 6, p1783-1794, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182489227
RecordInfo BibRecord:
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        Value: 10.18280/ijsse.140613
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1783
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      – TitleFull: Phishing Detection Using Random Forest-Based Weighted Bootstrap Sampling and LASSO+ Feature Selection.
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            NameFull: Sarasjati, Wendy
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            NameFull: Rustad, Supriadi
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              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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              Value: 14
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