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Lecture Notes in Computer Science
Feature Selection is an important phase in pattern recognition system design. Even though there are well established algorithms that are generally applicable, the requirement of using certain type of criteria for some practical problems makes most of the resulting methods highly inefficient. In this work, a method is proposed to rank a given set of features in the particular case of Decision Tree classifiers, using the same information generated while constructing the tree. The preliminarydoi:10.1007/3-540-60268-2_353 fatcat:5up5tpt4b5gs3dbtnv7gxkqbfu