Missing Data Analysis in Regression.
Carolina Gil MarcelinoGabriel M. C. LeiteP. CelesCarlos Eduardo PedreiraPublished in: Appl. Artif. Intell. (2022)
Keyphrases
- data analysis
- regression model
- regression problems
- data processing
- polynomial regression
- missing data
- high dimensional data
- linear regression
- big data
- data collection
- model selection
- gaussian processes
- regression analysis
- missing values
- databases
- cluster analysis
- gaussian process regression
- rough sets
- business intelligence
- kernel ridge regression
- data sets
- machine learning
- information retrieval
- support vector
- knowledge discovery
- incomplete data
- biological data
- partial least squares
- information visualization
- missing information
- pattern discovery
- regression function
- multi aspect
- locally weighted
- data mining applications
- intelligent data analysis
- data warehouse