Abstract:
An approach is presented to the optimization of decision trees. A decision tree is considered optimal if it correctly classifies the known data set and has the minimal nu...Show MoreMetadata
Abstract:
An approach is presented to the optimization of decision trees. A decision tree is considered optimal if it correctly classifies the known data set and has the minimal number of nodes. It is shown that it is important to decide the right order of attributes to test, for this can reduce the number of checking nodes in a decision tree.<>
Published in: [Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91
Date of Conference: 10-13 November 1991
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-8186-2300-4
