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Data Mining process

Typical Data Mining process

A typical Data Mining process involves:

  • Identifying the need
  • Preprocess the input data for analysis
  • Select algorithms
  • Build a model
  • Test a model and computing effectiveness
  • Apply the model to new data to predict
  • Using and refining the model (reports, applications)