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Heuristic Search in Attribute Selection
- There are 2d possible attribute combinations of d attributes
- Typical heuristic attribute selection methods:
- Best single attribute under the attribute independence assumption: choose by significance tests
- Best step-wise feature selection:
- The best single-attribute is picked first
- Then next best attribute condition to the first, ...
- Step-wise attribute elimination:
- Repeatedly eliminate the worst attribute
- Best combined attribute selection and elimination
- Optimal branch and bound:
- Use attribute elimination and backtracking
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