Global induction of oblique decision trees: An evolutionary approach

被引:15
|
作者
Kretowski, M [1 ]
Grzes, M [1 ]
机构
[1] Bialystok Tech Univ, Fac Comp Sci, PL-15351 Bialystok, Poland
关键词
D O I
10.1007/3-540-32392-9_32
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A new evolutionary algorithm for induction of oblique decision trees is proposed. In contrast to the classical top-down approach, it searches for the whole tree at the moment. Specialized genetic operators are developed, which enable modifying both the tree structure and the splitting hyper-planes in non-terminal nodes. The problem of over-fitting can be avoided thanks to suitably defined fitness function. Experimental results on both synthetical and real-life data are presented and compared with obtained by the state-of-the-art decision tree systems.
引用
收藏
页码:309 / 318
页数:10
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