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Oversampling based on generative adversarial networks to overcome imbalance data in predicting fraud insurance claim
Author(s) -
Ranu A. Nugraha,
Hilman F. Pardede,
Agus Subekti
Publication year - 2022
Publication title -
maǧallaẗ al-kuwayt li-l-ʿulūm
Language(s) - English
Resource type - Journals
eISSN - 2307-4116
pISSN - 2307-4108
DOI - 10.48129/kjs.splml.19119
Subject(s) - oversampling , computer science , adversarial system , class (philosophy) , machine learning , artificial intelligence , data mining , generative adversarial network , generator (circuit theory) , deep learning , computer network , power (physics) , physics , bandwidth (computing) , quantum mechanics

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