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- W4386204705 abstract "Missing data is a common problem in datasets and impacts the reliability of data analysis. Numerous methods to impute (i.e., predict and replace) missing values have been proposed. The quality of these imputed values depends on factors like correlation, percentage of missingness, or the mechanism behind the missing value. Despite comparative studies on imputation methods, conditions for their effectiveness and safe application lack dedicated investigation." @default.
- W4386204705 created "2023-08-28" @default.
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- W4386204705 date "2023-07-10" @default.
- W4386204705 modified "2023-09-25" @default.
- W4386204705 title "Four Factors Affecting Missing Data Imputation" @default.
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- W4386204705 doi "https://doi.org/10.1145/3603719.3604285" @default.
- W4386204705 hasPublicationYear "2023" @default.
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