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The Effects of Missing Data Characteristics on the Choice of Imputation Techniques
One major characteristic of data is completeness. Missing data is a significant problem in medical datasets. It leads to incorrect classification of patients and is dangerous to the health management of patients. Many factors lead to the missingness of values in databases in medical datasets. In thi...
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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
World Scientific Publishing
2020-05-01
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| Seri Bilgileri: | Vietnam Journal of Computer Science |
| Konular: | |
| Online Erişim: | http://www.worldscientific.com/doi/pdf/10.1142/S2196888820500098 |
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