Systematic review of using machine learning in imputing missing values

Systematic review of using machine learning in imputing missing values

Missing data are a universal data quality problem in many domains, leading to misleading analysis and inaccurate decisions. Much research has been done to investigate the different mechanisms of missing data and the proper techniques in handling various data types. In the last decade, machine learni...

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Bibliographic Details
Main Authors: Alabadla, Mustafa, Fatimah, Sidi, Iskandar, Ishak, Hamidah D., Ibrahim, Lilly Suriani, Affendey, Zafienas, Che Ani, A. Jabar, Marzanah Ab, Bukar, Umar Ali, Devaraj, Navin Kumar, Ahmad Sobri, Muda, Tharek, Anas, Noritah, Omar, Mohd Izham, Mohd Jaya
Format: Article
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/38852/
http://umpir.ump.edu.my/id/eprint/38852/1/Systematic%20Review%20of%20Using%20Machine%20Learning%20in%20Imputing%20Missing%20Values.pdf
http://umpir.ump.edu.my/id/eprint/38852/2/Systematic%20review%20of%20using%20machine%20learning%20in%20imputing%20missing%20values_ABS.pdf

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