Missing value estimation using clustering and deep learning within multiple imputation framework

Missing values in tabular data restrict the use and performance of machine learning, requiring the imputation of missing values. Arguably the most popular imputation algorithm is multiple imputation by chained equations (MICE), which estimates missing values from linear conditioning on observed valu...

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Veröffentlicht in:	Knowledge-based systems 2022-08, Vol.249, p.108968, Article 108968
Hauptverfasser:	Samad, Manar D., Abrar, Sakib, Diawara, Norou
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial neural networks Classification Clustering Datasets Deep learning Ensemble learning Machine learning MICE Missing value imputation Multiple imputation Tables (data)
Online-Zugang:	Volltext
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