Pruning, like the name implies, involves removing branches of the classification tree.
修剪正如其名字所指，意思是删减分类树的枝条。
This article discussed two data mining algorithms: the classification tree and clustering.
本文讨论了两种数据挖掘算法：分类树和群集。
We learned that in order to create a good classification tree model, we need to have an existing data set with known output from which we can build our model.
我们了解了为了创建一个好的分类树模型，我们必须要有一个输出已知的现有数据集，从这个数据集才能构建我们的模型。
Think about a company like Amazon and the common "Customers who purchased X also purchased y" feature. If Amazon were to create a classification tree, how many branches and nodes could it have?
举个例子，亚马逊这样的公司常常使用“购买了X的顾客还购买了Y ”特性，如果亚马逊拟创建一个分类树，那么它将需要多少分支和节点？
On the right is the Taxonomy tree frame where you will build your classification.
在右侧为Taxonomy树框架，将在其中构建您的分类。
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。
There are some various algorithms in data mining, and decision tree classification algorithm is the most popular one.
在数据挖掘中存在多种算法，决策树分类算法是应用比较多的一种。
According to the rice spectral features of hyperspectral image data acquired during the rice is growing, a hybrid decision tree classification algorithm dealing with the variety of rice is developed.
根据水稻生长期的高光谱数据的光谱特征，设计了一个混合决策树分类算法。
PK searching method based on classification tree and illegibility matching are developed.
提出了基于分类树和模糊匹配的工艺知识资源检索方法。
Generally, model can be expressed by classification rule, decision tree and mathematical formula.
通常，模型可以用分类规则、判定树或数学公式表示。
This paper introduces an object oriented method of classification tree and function table for the designing of machine parts for developing mechanical CAD software system.
本文介绍了在机械CAD系统开发中，提出并建立的基于面向对象技术的机械零件设计分类树功能表设计法。
Decision tree is one of the models that are often used in classification, and it has been widely researched and applied since it was proposed in 1966.
决策树是分类中常用的模型之一，自1966年被提出以来已经得到了广泛的研究和应用。
Compared with artificial classification, nerve network, and decision tree, its test error is low and the speed is high.
该方法与人工分类、神经网络、决策树等方法比较，其测试误差低，测试速度高。
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。
According to these two algorithms, this thesis proposed a new gene function classification algorithm based on gene function tree.
依据这两个准则，本文提出了一种改进的基于基因功能树的基因功能分类算法。
Fig. 2 Multivariate regression tree for associations classification.
图2群丛分类多元回归树。
Based on faceted classification schema and theory of tree mapping, a novel matching model named leaf node containment matching model and correspondence retrieving algorithm are put forward.
在分析了构件刻面分类模式和树映射相关理论的基础上，提出了一个新颖的叶节点包容匹配模型，并给出了相应的检索算法。
This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.
提出一种基于云理论和神经网络构造决策树的文本分类方法。
In the process of constructing a decision tree, the criteria of selecting partitional attributes will influence the efficiency of classification.
在构造决策树的过程中，分离属性选择的标准直接影响分类的效果。
Then, based on the continuous land surface map of tree, herbaceous and bare, the land use classification was made using expert classifier.
然后根据所生成的林地、草本和裸地的连续覆盖图，基于专家分类器进行土地利用分类。
By creating a classification tree (a decision tree), the data can be mined to determine the likelihood of this person to buy a new M5.
创建一个分类树(一个决策树)，并借此挖掘数据就可以确定这个人购买一辆新的M5的可能性有多大。
The introduction of generalized decision tree(GDT) realized the unification of classification rules and decision tree structure.
文章引入了广义决策树的概念，实现了分类规则集和决策树结构的统一。
Then the decision tree and class association rules mining are used on the video attribute database to extract a decision tree classification rule set and a class association rule set respectively.
然后分别使用决策树、分类关联规则等技术对视频属性数据库进行数据挖掘，提取出决策树分类规则集和分类关联规则集；
An approach for generating test cases from formal specification and the classification-tree method is presented.
介绍了一种基于形式规格说明和分类树方法生成软件测试用例的方法。
Objective:To introduce the basic principle of tree-structured methods, and then use classification trees to analyze a real example in medical research.
目的：介绍树结构法的基本原理与方法，并用分类树法对医学研究中的实例进行分析。
With the thorough analysis on the algorithm of decision tree induction, we established a classification and prediction system based on C4.5 and accomplished the integration with the LMIS system.
通过对决策树算法的深入分析，我们围绕着C4.5决策树生成算法建立了一个分类预测系统并实现了与劳动力市场信息管理系统（LMIS）的集成。
A hierarchical decomposed support vector machines binary decision tree is used for classification.
采用一种层次分解的支持向量机二叉决策树进行分类识别。
Randomized tree is a supervised classification algorithm for pattern recognition, which can be effectively used in augmented reality feature recognition and matching.
随机树分类算法是一种有监督学习的模式识别分类算法，可有效地应用于增强现实系统中的特征识别与匹配。
Moreover, this thesis compares FCA with clustering analysis, and analyzes the similarities and differences of classification based on concept lattice and decision tree.
另外，本文在相关章节对形式概念分析和聚类分析进行比较以及分析总结了基于概念格的分类和决策树分类法的异同。
The results of experiment demonstrate that the SVM decision tree built up by this method has a good classification performance.
实验结果表明，这种方法构造的SVM决策树分类器分类性能较好。
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