Data Mining

Data Mining

1. Data Preprocessing

   • Cleaning
     • Filling Missing Values
     • Noise Treatment
     • Instance Selection
     • Instance Generation
   • Integration and Transformation
     • Integration of Multiple Databases
     • Removal of Duplicates
     • Feature Normalization and Aggregation
       • Feature Encoding
       • Feature Engineering
   • Reduction
     • Dimensionality Reduction
       • Feature Selection
       • Feature Sampling
   • Discretization
   • Train / Validation / Test split
   • Undersampling / Oversampling

2. Data types

   • Categorical
   • Numerical
   • Text
   • Image
   • Audio
   • Video