DEGAIN: Generative-Adversarial-Network-Based Missing Data Imputation

DEGAIN: Generative-Adversarial-Network-Based Missing Data Imputation

Insights and analysis are only as good as the available data. Data cleaning is one of the most important steps to create quality data decision making. Machine learning (ML) helps deal with data quickly, and to create error-free or limited-error datasets. One of the quality standards for cleaning the...

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Bibliographic Details
Main Authors: Reza Shahbazian, Irina Trubitsyna
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Information
Subjects:
machine learning
data cleaning
missing data
data imputation
generative networks
Online Access:https://www.mdpi.com/2078-2489/13/12/575

Internet

https://www.mdpi.com/2078-2489/13/12/575

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