Data Pre-processing

Data Pre-processing

1. Why Preprocess the Data?

2. Data Cleaning

   • Missing Values
   • Noisy Data
   • Data Cleaning as a Process

3. Data Integration and Transformation

   • Data Integration
   • Data Transformation
     • Smoothing
     • Aggregation
     • Generalization
     • Normalization
     • Attribute construction

4. Data Reduction

   • Data Cube Aggregation
   • Attribute Subset Selection
   • Dimensionality Reduction
   • Numerosity Reduction

5. Data Discretization and Concept Hierarchy Generation

   • Discretization and Concept Hierarchy Generation for Numerical Data
   • Concept Hierarchy Generation for Categorical Data