论拓扑最小决策树的归纳

Tapio Elomaa, Jyrki Kivinen
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引用次数: 3

摘要

本文给出了W. Van de Velde(1989, 1990)决策树归纳算法IDL的理论和实证结果。与Van de Velde的猜想相反,该算法并不总是产生拓扑最小树。无论是作为增量决策树归纳算法的IDL,还是作为TDIDT生成的树的后处理器的IDL,都是如此。利用IDL对ID3生成的后处理树进行了试验。测试域是具有不相关属性的异或函数。结果表明,在该域中,IDL能够有效地去除树中不相关属性的测试。综述了IDL的计算复杂度分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On inducing topologically minimal decision trees
Both theoretical and empirical results are presented concerning W. Van de Velde's (1989, 1990) decision tree induction algorithm IDL. Contrary to a conjecture by Van de Velde, the algorithm does not always produce a topologically minimal tree. This is true both of IDL used as an incremental decision tree induction algorithm and of IDL used as a post-processor for trees generated by TDIDT. Experiments have been made on using IDL in post-processing trees produced by ID3. The test domains are exclusive-OR functions with irrelevant attributes. The results show that in this domain IDL removes efficiently the tests of irrelevant attributes from the trees. The computational complexity analysis of IDL is reviewed.<>
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