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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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