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Cosine Distance-Based Fuzzy C-Means Clustering for Local Classification in Imbalanced Network Intrusion Detection.

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Title: Cosine Distance-Based Fuzzy C-Means Clustering for Local Classification in Imbalanced Network Intrusion Detection.
Authors: Thi, Ngoc-Bich Giap1, bichgtn.b24chkv002@stu.ptit.edu.vn, Nguyen, Van-Nhan1, nhannv@dainam.edu.vn, Pham, Anh-Thu1, thupa@ptit.edu.vn, Hoang, Trong-Minh1, hoangtrongminh@ptit.edu.vn
Source: International Journal of Computers, Communications & Control; Jun2026, Vol. 21 Issue 3, p1-13, 13p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Cosine Distance-Based Fuzzy C-Means Clustering for Local Classification in Imbalanced Network Intrusion Detection.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195141082
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        Value: 10.15837/ijccc.2026.3.7305
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      – Code: eng
        Text: English
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        PageCount: 13
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      – TitleFull: Cosine Distance-Based Fuzzy C-Means Clustering for Local Classification in Imbalanced Network Intrusion Detection.
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            NameFull: Thi, Ngoc-Bich Giap
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            NameFull: Nguyen, Van-Nhan
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              Text: Jun2026
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              Y: 2026
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