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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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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
World Scientific Publishing
2020-05-01
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| Colección: | Vietnam Journal of Computer Science |
| Materias: | |
| Acceso en línea: | http://www.worldscientific.com/doi/pdf/10.1142/S2196888820500098 |
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