Zusammenfassung der Ressource
Data pre-processing
- Data cleaning
- Missing values
- Noisy data
- Data cleaning as a process
- Data integration and transformation
- Data reduction
- Data cube aggregation
- Attributes subset selection
- Dimensionality reduction
- Numerosity reduction
- Data discretization and concept hierarchy generation