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SICE: an improved missing data imputation technique
In data analytics, missing data is a factor that degrades performance. Incorrect imputation of missing values could lead to a wrong prediction. In this era of big data, when a massive volume of data is generated in every second, and utilization of these data is a major concern to the stakeholders, e...
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| Опубликовано в: : | J Big Data |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer International Publishing
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7291187/ https://ncbi.nlm.nih.gov/pubmed/32547903 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40537-020-00313-w |
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