Generating Synthetic Missing Data: A Review by Missing Mechanism

Generating Synthetic Missing Data: A Review by Missing Mechanism

The performance evaluation of imputation algorithms often involves the generation of missing values. Missing values can be inserted in only one feature (univariate configuration) or in several features (multivariate configuration) at different percentages (missing rates) and according to distinct mi...

Full description

Bibliographic Details
Main Authors: Miriam Seoane Santos, Ricardo Cardoso Pereira, Adriana Fonseca Costa, Jastin Pompeu Soares, Joao Santos, Pedro Henriques Abreu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Data preprocessing
missing data
missing data generation
missing data mechanisms
Online Access:https://ieeexplore.ieee.org/document/8605316/

Internet

https://ieeexplore.ieee.org/document/8605316/

Similar Items