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DATA PREPROCESSING

1. Data cleaning

   • Fill in missing values
   • Identify outliers and smooth out noisy data
   • Correct inconsistent data

2. Data integration & tranformation

   • Data integration
   • Schema integration
   • Schema integration

3. Data reduction

   • Data cube aggregation
   • Dimensionality reduction
   • Numerosity reduction
   • Discretization and concept hierarchy generation

4. Data discretization

   • Discretization