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Abstract: . While many constructive induction algorithms focus on generating new binary attributes, this paper explores novel methods of constructing nominal and numeric attributes. We propose a new constructive operator, X-of-N. An X-of-N representation is a set containing one or more attribute-value pairs. For a given instance, the value of an X-of-N representation corresponds to the number of its attribute-value pairs that are true of the instance. A single X-of-N representation can directly and... (Update)
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BibTeX entry: (Update)
@article{ zheng00constructing,
author = "Zijian Zheng",
title = "Constructing X-of-N Attributes for Decision Tree Learning",
journal = "Machine Learning",
volume = "40",
number = "1",
pages = "35-75",
year = "2000",
url = "citeseer.ist.psu.edu/article/zheng98constructing.html" }
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