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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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Directorate of Repository, Multimedia and Scientific Publishing (BRIN Publishing)
2020-12-01
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| シリーズ: | Baca: Jurnal Dokumentasi dan Informasi |
| 主題: | |
| オンライン･アクセス: | https://jurnalbaca.pdii.lipi.go.id/index.php/baca/article/view/702 |
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