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Oversampling based on generative adversarial networks to overcome imbalance data in predicting fraud insurance claim.

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Title: Oversampling based on generative adversarial networks to overcome imbalance data in predicting fraud insurance claim.
Authors: Nugraha, Ranu A.1 ranu.agastya@gmail.com, Pardede, Hilman F.1,2, Subekti, Agus1,2
Source: Kuwait Journal of Science. 2022 Special Issue, Vol. 49, p1-12. 12p.
Database: Academic Search Ultimate
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  Data: Oversampling based on generative adversarial networks to overcome imbalance data in predicting fraud insurance claim.
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  Data: <searchLink fieldCode="JN" term="%22Kuwait+Journal+of+Science%22">Kuwait Journal of Science</searchLink>. 2022 Special Issue, Vol. 49, p1-12. 12p.
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      – Type: doi
        Value: 10.48129/kjs.splml.19119
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      – Code: eng
        Text: English
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        PageCount: 12
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      – TitleFull: Oversampling based on generative adversarial networks to overcome imbalance data in predicting fraud insurance claim.
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            NameFull: Pardede, Hilman F.
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              Text: 2022 Special Issue
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              Value: 49
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