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...
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| 格式: | Thesis |
| 语言: | English English English |
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2019
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| 在线阅读: | http://eprints.uthm.edu.my/504/1/24p%20HASEEB%20ALI.pdf http://eprints.uthm.edu.my/504/2/HASEEB%20ALI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/504/3/HASEEB%20ALI%20WATERMARK.pdf |
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