Impact of imputation of missing values on Genetic programming based multiple feature construction for classification.
Cao Truong TranPeter AndreaeMengjie ZhangPublished in: CEC (2015)
Keyphrases
- feature construction
- missing values
- genetic programming
- missing data
- data imputation
- incomplete data
- classification rules
- missing data imputation
- rule learning
- multiple imputation
- imputation methods
- machine learning
- high dimensional data
- data representation
- concept learning
- multivariate temporal data
- decision trees
- dimension reduction
- evolutionary algorithm
- missing attribute values
- genetic algorithm
- supervised learning
- pattern recognition
- data sets