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The Effects of Missing Data Characteristics on the Choice of Imputation Techniques

One major characteristic of data is completeness. Missing data is a significant problem in medical datasets. It leads to incorrect classification of patients and is dangerous to the health management of patients. Many factors lead to the missingness of values in databases in medical datasets. In thi...

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書誌詳細
主要な著者: Oyekale Abel Alade, Ali Selamat, Roselina Sallehuddin
フォーマット: Artigo
言語:Inglês
出版事項: World Scientific Publishing 2020-05-01
シリーズ:Vietnam Journal of Computer Science
主題:
オンライン・アクセス:http://www.worldscientific.com/doi/pdf/10.1142/S2196888820500098
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