Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines.
Fernando Sánchez LasherasPaulino José García NietoEsperanza García GonzaloFrancisco Argüeso GómezFrancisco Javier Iglesias-RodríguezAna Suárez SánchezJesús Daniel Santos RodríguezMaría Luisa Sánchez RodríguezJoaquín González-NuevoLaura BonaveraLuigi ToffolattiSusana del Carmen Fernández MenéndezFrancisco Javier de Cos JuezPublished in: HAIS (2020)
Keyphrases
- continuous variables
- missing data imputation
- multivariate adaptive regression splines
- missing values
- support vector regression
- discrete variables
- dynamic systems
- bayesian networks
- random variables
- computationally expensive
- hidden variables
- structure learning
- convex hull
- data mining
- missing data
- least squares
- routing problem
- data analysis
- probability distribution
- data preparation
- feature space