Article ID: | iaor1991609 |
Country: | United States |
Volume: | 20 |
Issue: | 2 |
Start Page Number: | 339 |
End Page Number: | 346 |
Publication Date: | Mar 1990 |
Journal: | IEEE Transactions On Systems, Man and Cybernetics |
Authors: | Quinlan J. |
Various practical systems capable of extracting descriptive decisionmaking knowledge from data have been developed and evaluated. Techniques that represent knowledge about classification tasks in the form of decision trees are focused on. 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 otherwise to tree-based methods are discussed.