A hybrid ensemble method for spam tweet detection using imbalanced datasets.

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Bibliographic Details
Title: A hybrid ensemble method for spam tweet detection using imbalanced datasets.
Authors: Wang, Tianyu1 (AUTHOR), Genc, Yegin2 (AUTHOR) ygenc@pace.edu, Chen, Li-Chiou2 (AUTHOR)
Source: Information Security Journal: A Global Perspective. Nov2025, p1-18. 18p. 2 Illustrations.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 189022668
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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IllustrationInfo
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  Label: Title
  Group: Ti
  Data: A hybrid ensemble method for spam tweet detection using imbalanced datasets.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Tianyu%22">Wang, Tianyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Genc%2C+Yegin%22">Genc, Yegin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> ygenc@pace.edu</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Li-Chiou%22">Chen, Li-Chiou</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Information+Security+Journal%3A+A+Global+Perspective%22">Information Security Journal: A Global Perspective</searchLink>. Nov2025, p1-18. 18p. 2 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189022668
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/19393555.2025.2575221
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1
    Titles:
      – TitleFull: A hybrid ensemble method for spam tweet detection using imbalanced datasets.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Wang, Tianyu
      – PersonEntity:
          Name:
            NameFull: Genc, Yegin
      – PersonEntity:
          Name:
            NameFull: Chen, Li-Chiou
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          Dates:
            – D: 02
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 19393555
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            – TitleFull: Information Security Journal: A Global Perspective
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