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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Auteurs principaux: | Ariani Indrawati, Hendro Subagyo, Andre Sihombing, Wagiyah Wagiyah, Sjaeful Afandi |
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Format: | article |
Langue: | EN ID |
Publié: |
Lembaga Ilmu Pengetahuan Indonesia
2020
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Accès en ligne: | https://doaj.org/article/bf6a90b54cc34ae89e9eee9d4ad072ff |
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