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An enhanced robust association rules method for missing values imputation in Arabic language data set

In data quality, missing values is one form of data completeness problem faced by people who deal with data. The failure to handle missing values usually causes unwanted consequences such as misleading analysis and decision-making. Thus, to deal with missing values, data imputation methods were prop...

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Bibliographic Details
Main Author: Salem, Awsan Thabet
Format: Thesis
Language:English
English
Published: 2023
Subjects:
Q Science (General)
QA Mathematics
Online Access:http://eprints.utem.edu.my/id/eprint/27718/1/An%20enhanced%20robust%20association%20rules%20method%20for%20missing%20values%20imputation%20in%20Arabic%20language%20data%20set.pdf
http://eprints.utem.edu.my/id/eprint/27718/2/An%20enhanced%20robust%20association%20rules%20method%20for%20missing%20values%20imputation%20in%20Arabic%20language%20data%20set.pdf
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http://eprints.utem.edu.my/id/eprint/27718/1/An%20enhanced%20robust%20association%20rules%20method%20for%20missing%20values%20imputation%20in%20Arabic%20language%20data%20set.pdf
http://eprints.utem.edu.my/id/eprint/27718/2/An%20enhanced%20robust%20association%20rules%20method%20for%20missing%20values%20imputation%20in%20Arabic%20language%20data%20set.pdf

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