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Detecting concept drift in imbalanced data streams with limited labels.

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Title: Detecting concept drift in imbalanced data streams with limited labels.
Authors: Li, Yanhong1,2, liyh@sxu.edu.cn, Wang, Liangqiang1,2, wangliangqiang@outlook.com, Wang, Suge1,2, wsg@sxu.edu.cn, Li, Deyu1,2, lidy@sxu.edu.cn
Source: International Journal of Machine Learning & Cybernetics; Jul2026, Vol. 17 Issue 7, p1-21, 21p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194269833
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Detecting concept drift in imbalanced data streams with limited labels.
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  Data: <searchLink fieldCode="AU" term="%22Li%2C+Yanhong%22">Li, Yanhong</searchLink><relatesTo>1,2</relatesTo>, <i>liyh@sxu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Liangqiang%22">Wang, Liangqiang</searchLink><relatesTo>1,2</relatesTo>, <i>wangliangqiang@outlook.com</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Suge%22">Wang, Suge</searchLink><relatesTo>1,2</relatesTo>, <i>wsg@sxu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Deyu%22">Li, Deyu</searchLink><relatesTo>1,2</relatesTo>, <i>lidy@sxu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Machine+Learning+%26+Cybernetics%22">International Journal of Machine Learning & Cybernetics</searchLink>; Jul2026, Vol. 17 Issue 7, p1-21, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194269833
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s13042-026-03141-1
    Languages:
      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 1
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      – TitleFull: Detecting concept drift in imbalanced data streams with limited labels.
        Type: main
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          Name:
            NameFull: Li, Yanhong
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            NameFull: Wang, Liangqiang
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            NameFull: Wang, Suge
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          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 18688071
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              Value: 17
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: International Journal of Machine Learning & Cybernetics
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