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A Comparative Analysis of Feature Eliminator Methods to Improve Machine Learning Phishing Detection.

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Title: A Comparative Analysis of Feature Eliminator Methods to Improve Machine Learning Phishing Detection.
Authors: Tanimu, Jibrilla1, Shiaeles, Stavros2, stavros.shiaeles@port.ac.uk, Adda, Mo1
Source: Journal of Data Science & Intelligent Systems (JDSIS); Apr2024, Vol. 2 Issue 2, p87-99, 13p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 179717022
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Comparative Analysis of Feature Eliminator Methods to Improve Machine Learning Phishing Detection.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179717022
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        Value: 10.47852/bonviewJDSIS32021736
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 87
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      – TitleFull: A Comparative Analysis of Feature Eliminator Methods to Improve Machine Learning Phishing Detection.
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            NameFull: Tanimu, Jibrilla
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            NameFull: Shiaeles, Stavros
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            NameFull: Adda, Mo
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              Text: Apr2024
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              Y: 2024
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