Application of Decision Tree Algorithm in Lumber Hierarchies

Dan Guo

doi:10.4028/www.scientific.net/AMR.466-467.308

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Application of Decision Tree Algorithm in Lumber Hierarchies
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 466-467Application of Decision Tree Algorithm in Lumber...

Application of Decision Tree Algorithm in Lumber Hierarchies

Abstract:

The decision tree algorithm is a kind of approximate discrete function value method with high precision, construction model of classification of noise data is simple and has good robustness etc, it is currently the most widely used in one of the inductive reasoning algorithms in data mining, extensive attention by researchers. This paper selects the decision tree ID3 algorithm to realize the standardization of lumber level division, to ensure the accuracy of the lumber division, while improving the partition of speed.

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Periodical:

Advanced Materials Research (Volumes 466-467)

Pages:

308-313

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.466-467.308

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Online since:

February 2012

Authors:

Dan Guo

Keywords:

Decision Tree Algorithm, Hierarchies, ID3

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