Application of Decision Tree Algorithm in Lumber Hierarchies
2012 ◽
Vol 466-467
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pp. 308-313
Keyword(s):
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.
2014 ◽
Vol 543-547
◽
pp. 1639-1642
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2021 ◽
Vol 1869
(1)
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pp. 012082
2014 ◽
Vol 538
◽
pp. 460-464
Keyword(s):
Keyword(s):
2018 ◽
Vol 8
(3)
◽
pp. 980
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2020 ◽
Vol 9
(4)
◽
pp. 1478-1484
Keyword(s):
2019 ◽
Vol 32
(3)
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pp. 416-421
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Keyword(s):