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A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data.

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Title: A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data.
Authors: Li, Jinyan1, Wu, Yaoyang1, yc07481@connect.um.edu.mo, Fong, Simon1, Tallón-Ballesteros, Antonio J.2, Yang, Xin-she3, Mohammed, Sabah4, Wu, Feng5
Source: Journal of Supercomputing; Apr2022, Vol. 78 Issue 5, p7428-7463, 36p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 155874042
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  Data: A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; Apr2022, Vol. 78 Issue 5, p7428-7463, 36p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=155874042
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11227-021-04177-6
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      – Code: eng
        Text: English
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        PageCount: 36
        StartPage: 7428
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      – TitleFull: A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data.
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            NameFull: Li, Jinyan
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            NameFull: Wu, Yaoyang
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            NameFull: Yang, Xin-she
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            NameFull: Mohammed, Sabah
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            – D: 01
              M: 04
              Text: Apr2022
              Type: published
              Y: 2022
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