| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 490383 | Procedia Computer Science | 2013 | 8 Pages |
Abstract
In this paper, we present three approaches for construction of decision rules for decision tables with many-valued decisions. We construct decision rules directly for rows of decision table, based on paths in decision tree, and based on attributes contained in a test (super-reduct). Experimental results for the data sets taken from UCI Machine Learning Repository, contain comparison of the maximum and the average length of rules for the mentioned approaches.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
