A Comprehensive Machine Learning Approach for Email and URL Threat Detection: Using Feature Importance Analysis.

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Title: A Comprehensive Machine Learning Approach for Email and URL Threat Detection: Using Feature Importance Analysis.
Authors: Kharabsheh, Mohammad1, mohkh86@hu.edu.jo, AlZu’bi, Shadi2, smalzubi@zuj.edu.jo, Alsarhan, Ali3, ali.alsarhan@umbc.edu, Mughaith, Ala’a4, mughaid.a@gust.edu.kw, Aljawabreh, Nadera5, naderam@hu.edu.jo, Alabdullatif, Mohammad6, maabdullatif@kfu.edu.sa
Source: International Journal of Advances in Soft Computing & Its Applications; Jul2025, Vol. 17 Issue 2, p289-315, 27p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188011044
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PubType: Academic Journal
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  Data: A Comprehensive Machine Learning Approach for Email and URL Threat Detection: Using Feature Importance Analysis.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.15849/IJASCA.250730.16
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 289
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      – TitleFull: A Comprehensive Machine Learning Approach for Email and URL Threat Detection: Using Feature Importance Analysis.
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            NameFull: Kharabsheh, Mohammad
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            – D: 01
              M: 07
              Text: Jul2025
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              Y: 2025
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