Data cleaning
Fill in missing values
Smooth noisy data
Identify or remove outliers
Data integration
Integration of multiple data sources (databases)
Resolve inconsistencies
Data reduction
Dimensionality reduction (More on the next chapter)
Data transformation and data discretisation
Normalisation, Standardisation