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

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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Bibliographic Details
Main Authors: Ariani Indrawati, Hendro Subagyo, Andre Sihombing, Wagiyah Wagiyah, Sjaeful Afandi
Format: Article
Language:English
Published: Lembaga Ilmu Pengetahuan Indonesia 2020-12-01
Series:Baca: Jurnal Dokumentasi dan Informasi
Subjects:
imbalanced data
resampling techniques
machine learning
classification
journal
isjd
Online Access:https://jurnalbaca.pdii.lipi.go.id/index.php/baca/article/view/702

Internet

https://jurnalbaca.pdii.lipi.go.id/index.php/baca/article/view/702

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