Tree-based prediction on incomplete data using imputation or surrogate decisions.
Holger Cevallos-ValdiviezoStefan Van AelstPublished in: Inf. Sci. (2015)
Keyphrases
- incomplete data
- missing values
- missing data
- multiple imputation
- data imputation
- imputation methods
- learning bayesian networks
- models built
- prediction accuracy
- bayesian networks
- em algorithm
- incomplete data sets
- decision makers
- decision making
- missing attribute values
- neural network
- bayes classifier
- variational bayesian
- typical testors
- metadata
- irrelevant attributes
- statistical databases
- principal component analysis