A systematic review of recurrent neural network adoption in missing data imputation

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A systematic review of recurrent neural network adoption in missing data imputation

Missing data is a pervasive challenge in diverse datasets accross various domains. It is often resulting from human error, system faults, and respondent non-response. Failing to address missing data can lead to inaccurate results during data analysis, as incomplete data sequences introduce biases an...

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Bibliographic Details
Main Authors:	Nur Aqilah, Fadzil Akbar, Mohd Izham, Mohd Jaya, Mohd Faizal, Ab Razak, Nurul Aqilah, Zamri
Format:	Article
Language:	English
Published:	University of Bahrain 2025
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/43919/ http://umpir.ump.edu.my/id/eprint/43919/1/1571041166.pdf

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