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Extracting interesting CoHUPs from dataset with skewed and non-skewed item’s support distribution

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Title: Extracting interesting CoHUPs from dataset with skewed and non-skewed item’s support distribution
Authors: Saeed, RashadAff1, Aff2, Aff5, IDs10115026027764_cor1, Rauf, AzharAff1, Quradaa, Fahmi H.Aff1, Aff2, Mumtaz, SaraAff3, Alam, SaqibAff4, Al-Hakimi, Mohammed H. S.Aff1
Source: Knowledge and Information Systems: An International Journal. 68(1)
Database: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s10115-026-02776-4
    Name: EDS - Springer Nature Journals (s7799221)
    Category: fullText
    Text: View record at Springer
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PubType: Academic Journal
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  Data: <i>Knowledge and Information Systems: An International Journal</i>. 68(1)
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      – Type: doi
        Value: 10.1007/s10115-026-02776-4
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      – Text: English
    Titles:
      – TitleFull: Extracting interesting CoHUPs from dataset with skewed and non-skewed item’s support distribution
        Type: main
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            NameFull: Saeed, Rashad
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            NameFull: Rauf, Azhar
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            NameFull: Quradaa, Fahmi H.
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            NameFull: Mumtaz, Sara
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            NameFull: Alam, Saqib
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            NameFull: Al-Hakimi, Mohammed H. S.
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          Dates:
            – D: 01
              M: 12
              Type: published
              Y: 2026
          Identifiers:
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              Value: 02191377
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              Value: 02193116
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            – Type: volume
              Value: 68
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              Value: 1
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            – TitleFull: Knowledge and Information Systems: An International Journal
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