Intelligent imputation method for mix data-type missing values to improve data quality

Missing data is a widespread data quality issue across various domains. A common challenge is the occurrence of missing data during the data input process. Numerous studies have proposed methods to impute missing values for data across multiple fields. However, certain domains present unique chal...

書誌詳細
第一著者:	Alabadla, Mustafa R. A.
フォーマット:	学位論文
言語:	英語
出版事項:	2024
主題:	Machine learning Data cleaning (Data processing) Missing data (Statistics)
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/119916/1/119916.pdf

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