Title :
Construction of Forestry Resource Classification Rule Decision Tree Based on ID3 Algorithm
Author :
Danwa, Song ; Ning, Han ; Dandan, Liu
Author_Institution :
Eng. Sch., Beijing Forestry Univ., Beijing
Abstract :
This paper emphasized on the implementation of ID3 algorithm in forestry resource classification rule decision tree. Use ID3 algorithm to analysis the correlation information among forestry species, altitude, origin, forest group and rows by establishing decision tree model, and provide reference for the related decision support. It is proved that this method has a good application prospect in forest resource mode evaluation.
Keywords :
classification; decision trees; forestry; ID3 algorithm; correlation information analysis; forestry resource classification rule decision tree; realization algorithm; Algorithm design and analysis; Classification algorithms; Classification tree analysis; Computer science education; Data mining; Decision trees; Design engineering; Educational institutions; Forestry; Resource management; Decision tree; Forest resource classification information; ID3 Algorithm;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.730
