On the choice of the best imputation methods for missing values considering three groups of classification methods.
Julián LuengoSalvador GarcíaFrancisco HerreraPublished in: Knowl. Inf. Syst. (2012)
Keyphrases
- missing values
- imputation methods
- missing data
- cost sensitive learning
- data imputation
- incomplete data
- missing data imputation
- incomplete data sets
- high dimensional data
- unseen test data
- cross validation
- data stream classification
- feature values
- multiple imputation
- decision trees
- data sets
- multivariate temporal data
- unseen data
- feature extraction
- model selection
- maximum likelihood
- dimensionality reduction
- nearest neighbor
- probabilistic model
- feature space
- machine learning