A Tool for Study of Optimal Decision Trees.

Autor: Alkhalid, Abdulaziz, Chikalov, Igor, Moshkov, Mikhail
Zdroj: Rough Set & Knowledge Technology; 2010, p353-360, 8p
Abstrakt: The paper describes a tool which allows us for relatively small decision tables to make consecutive optimization of decision trees relative to various complexity measures such as number of nodes, average depth, and depth, and to find parameters and the number of optimal decision trees. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index