Results 261 to 270 of about 318,466 (281)

Missing data imputation using statistical and machine learning methods in a real breast cancer problem

Artificial Intelligence in Medicine, 2010
José M Jerez, Pedro J García-Laencina, Emilio Alba   +2 more
exaly  

Imputation methods

2013
openaire   +1 more source

Missing Data and Imputation Methods

2011
Missing data are a pervasive problem in many data sets and seem especially widespread in social and economic studies, such as customer satisfaction surveys. Imputation is an intuitive and flexible way to handle the incomplete data sets that result. We discuss imputation, multiple imputation (MI), and other strategies to handle missing data, together ...
MATTEI, ALESSANDRA, MEALLI, FABRIZIA, D. B. Rubin   +2 more
openaire   +1 more source

Comparison of five iterative imputation methods for multivariate classification

Chemometrics and Intelligent Laboratory Systems, 2013
Steven D Brown
exaly  

Imputation methods

2000
openaire   +1 more source

An Effective Ensemble Method for Missing Data Imputation

International Journal of Information and Computer Security, 2022
Bikash Baruah, Manash Pratim Dutta, Dhruba K. Bhattacharyya   +2 more
openaire   +1 more source

Imputation Methods

2016
openaire   +1 more source

Use of biplot technique for the comparison of the missing value imputation methods

International Journal of Data Analysis Techniques and Strategies, 2015
Cemal Atakan
exaly  

An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers

Expert Systems With Applications, 2017
Unai Garciarena, Roberto Santana
exaly  

On the choice of the best imputation methods for missing values considering three groups of classification methods

Knowledge and Information Systems, 2011
Julian Luengo, Salvador Garcia, Francisco Herrera   +2 more
exaly