Improved adaptive semi-unsupervised weighted oversampling (IA-SUWO) using sparsity factor for imbalanced datasets

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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書目詳細資料
主要作者:	Ali, Haseeb
格式:	Thesis
語言:	English English English
出版:	2019
主題:	QA75-76.95 Calculating machines
在線閱讀:	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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