Do We Really Need Imputation in AutoML Predictive Modeling?
George PaterakisStefanos FafaliosPaulos CharonyktakisVassilis ChristophidesIoannis TsamardinosPublished in: ACM Trans. Knowl. Discov. Data (2024)
Keyphrases
- predictive modeling
- missing values
- missing data
- data mining methods
- statistical modeling
- exploratory data analysis
- data mining
- data analysis
- text mining
- knowledge discovery
- machine learning
- heterogeneous data sets
- business intelligence
- survival analysis
- data mining techniques
- big data
- multiple imputation
- statistical data mining
- database
- statistical models
- artificial intelligence
- decision support
- natural language
- databases