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Noise-free sampling with majority framework for an imbalanced classification problem.

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Title: Noise-free sampling with majority framework for an imbalanced classification problem.
Authors: Firdausanti, Neni Alya1, nenialya@dbms.cs.kumamoto-u.ac.jp, Mendonça, Israel2, Aritsugi, Masayoshi2
Source: Knowledge & Information Systems; Jul2024, Vol. 66 Issue 7, p4011-4042, 32p
Database: Applied Science & Technology Source
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An: 178029260
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PubType: Academic Journal
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10115-024-02079-6
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      – Code: eng
        Text: English
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        PageCount: 32
        StartPage: 4011
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      – TitleFull: Noise-free sampling with majority framework for an imbalanced classification problem.
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            NameFull: Firdausanti, Neni Alya
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            NameFull: Mendonça, Israel
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            NameFull: Aritsugi, Masayoshi
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            – D: 01
              M: 07
              Text: Jul2024
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              Y: 2024
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              Value: 66
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