CRISP-DM

Cross industry standard process for data mining 

  1. Business understanding 
    • Define the problem
    • Asses the situation 
    • Formulate the goals 
  2. Data understanding
    1. Data acquisition
    2. Data exploration
  3. Data preparation
    • Prepare data for modeling
    • Address quality issue
    • Select features 
  4. Modeling 
    • Determine type of problem
    • Select model techniques
    • Build model
  5. Evaluation 
    • Assess model performance
    • Evaluate the model results
  6. Deployment

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