Zusammenfassung der Ressource
Data pre-processing
Anmerkungen:
- Data pre-processing is a data mining technique that involves transforming raw data into an understandable format
- Data cleaning
Anmerkungen:
- Data is cleansed through processes such as filling in missing values,
smoothing the noisy data, or resolving the inconsistencies in the data.
- Missing values
- Noisy data
- Data cleaning as a process
- Data integration and transformation
- Data reduction
Anmerkungen:
- This step aims to present a reduced representation of the data in a data warehouse.
- Data cube aggregation
- Attributes subset selection
- Dimensionality reduction
- Numerosity reduction
- Data discretization and concept hierarchy generation