A NOTE ON THE COMPARISON OF 5 HEURISTIC OPTIMIZATION TECHNIQUES OF A CERTAIN CLASS OF DECISION TREES

被引：1
|
作者：
FINDLER, NV
BICKMORE, TW
IHRIG, LH
TSANG, WW
机构：
[1] Artificial Intelligence Laboratory, Computer Science Department, Arizona State University, Tempe
来源：
INFORMATION SCIENCES | 1991年 / 53卷 / 1-2期
关键词：
D O I：
10.1016/0020-0255(91)90059-4
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We describe five heuristic techniques to optimize decision trees of uniform depth, that is, to minimize their storage requirement. We also compare them in terms of speed and effectiveness. © 1991.
引用
收藏
页码：89 / 100
页数：12
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