Simplifying Decision Trees
Many systems have been developed for constructing decision trees from collections of examples. Although the decision trees generated by these methods are accurate and efficient, they often suffer the disadvantage of excessive complexity that can render them incomprehensible to experts. It is...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/6453 |