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决策树C4.5算法在森林资源二类调查中的应用
引用本文:王阗,佘光辉.决策树C4.5算法在森林资源二类调查中的应用[J].南京林业大学学报(自然科学版),2007,31(3):115-118.
作者姓名:王阗  佘光辉
作者单位:1. 南京林业大学信息科学技术学院,江苏,南京,210037
2. 南京林业大学森林资源与环境学院,江苏,南京,210037
摘    要:C4.5算法是基于信息熵理论进行数据分类分析的经典决策树数据挖掘算法.它主要包括数据预处理、决策树生成、决策树修剪、决策树规则提取等步骤.笔者将C4.5算法应用于森林资源二类调查的数据分析中,通过对调查数据挖掘分析表明,数据挖掘在森林资源调查数据分析中具有广泛的应用前景.

关 键 词:数据挖掘  决策树  森林资源  C4.5算法  决策树修剪  挖掘算法  森林资源二类调查  应用  Application  Resources  Forestry  Investigation  and  Analysis  Decision  Tree  Algorithm  前景  调查数据分析  分析表  数据挖掘  规则提取  数据预处理  分类分析  信息熵理论
文章编号:1000-2006(2007)03-0115-04
修稿时间:2006-02-202007-03-12

Application of C4.5 Based Decision Tree Algorithm About Investigation and Analysis of Forestry Resources
WANG Tian,SHE Guang-hui.Application of C4.5 Based Decision Tree Algorithm About Investigation and Analysis of Forestry Resources[J].Journal of Nanjing Forestry University(Natural Sciences ),2007,31(3):115-118.
Authors:WANG Tian  SHE Guang-hui
Institution:1. College of Information Science and Technology Nanjing Forestry University, Nanjing 210037,China; 2. College of Forest Resources and Environment Nanjing Forestry University,Nanjing 210037,China
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.
Keywords:Data mining  Decision tree  Forestry resources  C4  5 algorithm
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