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Data Mining Function: Classification

  • Classification and label prediction
    • Construct models (functions) based on some training examples
    • Describe and distinguish classes or concepts for future prediction
      • E.g., classify countries based on (climate), or classify cars based on (gas mileage)
    • Predict some unknown class labels
  • Typical methods
    • Decision trees, naïve Bayesian classification, support vector machines, neural networks, rule-based classification, pattern-based classification, logistic regression, …
  • Typical applications:
    • Credit card fraud detection, direct marketing, classifying stars, diseases, web-pages, …

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