Missing data imputation - Open Access .click

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Multiple imputation as a missing data machine.

Proceedings. Symposium on Computer Applications in Medical Care, 1994
This paper deals with problems concerning missing data in clinical databases. After signalling some shortcomings of popular solutions to incomplete data problems, we outline the concepts behind multiple imputation. Multiple imputation is a statistically sound method for handling incomplete data. Application of multiple imputation requires a lot of work
Brand, J. +4 more
openaire +2 more sources

An Experimental Survey of Missing Data Imputation Algorithms

IEEE Transactions on Knowledge and Data Engineering, 2022
Lu Chen, Xiaoye Miao, Yunjun Gao
exaly

Machine learning-based imputation soft computing approach for large missing scale and non-reference data imputation

Chaos, Solitons and Fractals, 2021
O S Albahri, Salem Garfan, Juliana Chen +2 more
exaly

Imputation of Missing Network Data

2017
Huisman, Mark, Krause, Robert W.
openaire +1 more source

Deep learning for missing value imputation of continuous data and the effect of data discretization

Knowledge-Based Systems, 2022
Chih-Fong Tsai
exaly

Deep learning versus conventional methods for missing data imputation: A review and comparative study

Expert Systems With Applications, 2023
, Tingting Zhang
exaly

From Missing Data Imputation to Data Generation