ANALYZING THE IMPACT OF RESAMPLING METHOD FOR IMBALANCED DATA TEXT IN INDONESIAN SCIENTIFIC ARTICLES CATEGORIZATION

The extremely skewed data in artificial intelligence, machine learning, and data mining cases are often given misleading results. It is caused because machine learning algorithms are designated to work best with balanced data. However, we often meet with imbalanced data in the real situation. To han...

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Hlavní autoři:	Ariani Indrawati, Hendro Subagyo, Andre Sihombing, Wagiyah Wagiyah, Sjaeful Afandi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Directorate of Repository, Multimedia and Scientific Publishing (BRIN Publishing) 2020-12-01
Edice:	Baca: Jurnal Dokumentasi dan Informasi
Témata:	imbalanced data resampling techniques machine learning classification journal isjd
On-line přístup:	https://jurnalbaca.pdii.lipi.go.id/index.php/baca/article/view/702
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!