multi-classification decision tree 多分类决策树
multi classification decision tree 多分类决策树
Decision tree classification 决策树分类法 ; 决策树分类挖掘
Decision tree classification algorithm 决策树分类算法
decision tree classification model 分类决策树模型
decision-tree classification method 决策树分类法
Parallel Decision Tree Classification 并行决策树分类算法
In this paper, a new method which combines unsupervised and supervised learning strategy is put forward to construct the multi classification decision tree.
提出了一种融合无监督和监督两种学习策略生成多分类决策树的方法。
This paper introduces two construction algorithms of Classification decision tree based on parallel algorithm, and analyzes applicability.
本文重点介绍了两种基于并行算法的分类决策树的构造算法，并对它们的适用性及特点作了分析。
As for the problem above, the paper in-depth researches one of the core algorithms which are applied to classification-decision tree algorithm.
本文从这一实际问题出发，对数据挖掘中用于分类的核心算法之一——决策树方法进行了深入地研究。
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