Improved adaptive semi-unsupervised weighted oversampling (IA-SUWO) using sparsity factor for imbalanced datasets
The imbalanced data problem is common in data mining nowadays due to the skewed nature of data, which impact the classification process negatively in machine learning. For preprocessing, oversampling techniques significantly benefitted the imbalanced domain, in which artificial data is generated in...
| 第一著者: | |
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| フォーマット: | Dissertation |
| 言語: | 英語 英語 英語 |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/504/ |
| Abstract | Abstract here |