Application of C4.5 Based Decision Tree Algorithm About Investigation and Analysis of Forestry Resources
She Guang-hui · Nanjing Linye Daxue xuebao · 2007
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.