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Decision trees and decision-making

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1 Author(s)
J. R. Quinlan ; Basser Dept. of Comput. Sci., Sydney Univ., NSW, Australia

Various practical systems capable of extracting descriptive decision-making knowledge from data have been developed and evaluated. Techniques that represent knowledge about classified tasks in the form of decision trees are examined. A sample of techniques is sketched, ranging from basic methods of constructing decision trees to ways of using them noncategorically. Some characteristics that suggest whether a particular classification task is likely to be amenable or not to tree-based methods are discussed

Published in:

IEEE Transactions on Systems, Man, and Cybernetics  (Volume:20 ,  Issue: 2 )