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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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