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决策树C4.5算法在森林资源二类调查中的应用

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2007年03期
Page:
115-118
Column:
研究论文
publishdate:
2007-03-20

Article Info:/Info

Title:
Application of C4.5 Based Decision Tree Algorithm About Investigation and Analysis of Forestry Resources
Article ID:
1000-2006(2007)03-0115-04
Author(s):
WANG Tian1 SHE Guang-hui2*
1. College of Information Sciem’e and Technology Nanjing Forestry University. Nanjing 210037, China; 2. College of Forest Resources and Environment Nanjing Forestry University, Nanjing 210037, China
Keywords:
Data mining Decision tree Forestry resources C4.5 algorithm
Classification number :
TP3-05
DOI:
10.3969/j.jssn.1000-2006.2007.03.026
Document Code:
A
Abstract:
C4.5 algorithm is a classic decision-tree-based data-mining algorithm, It classifies and analyzes data based on information entropy theory. It mainly includes such following steps as pre-procession of data, creation of decision-tree, pruning of decision-tree, rules extraction from decision-tree. C4.5 algorithm is introduced in this paper, and it is applied in a data analysis on second stage investigation of forestry resources. The promising prospect of data mining in investigation and data analysis of forestry resources has been proved.

References

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Last Update: 2013-05-20