Classification tree model was used to explore health-related factors.
用分类树模型分析健康的相关因素。
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。
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。
Similar procedures in addition to the left side of common classification tree, there is the top classification.
除了同类程序中常见的左侧分类树外，还有顶端分类。
According to characteristics of human facial expression, three-layer classification is proposed based on classification tree.
根据人脸表情特征基于分类树思想将表情进行三层分类。
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。
There is a default constructor that initializes all the parameters with the default values tuned for standalone classification tree.
一个缺省的构造函数可以用缺省值来初始化所有的参数，构造一棵基本的分类树。
I wanted to take you through the steps to producing a classification tree model with data that seems to be ideal for a classification model.
我本想带您亲历用适合于分类模型的数据生成一个分类树的全过程。
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。
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。
To make all of Europe's architectural data easier to access, a community of users created the winning classification tree above, titled Metadata for architectural Content in Europe.
为了使欧洲的所有建筑学数据更便于检索，几位用户创建了一个名为“欧洲建筑学目录元数据(MetadataforArchitecturalContentin Europe)”的分类树，这幅作品成功入围十佳。
That's seemingly the big advantage of a classification tree - it doesn't require a lot of information about the data to create a tree that could be very accurate and very informative.
这看上去像是分类树的一大优势—它无需有关数据的大量信息就能创建一个十分准确且信息丰富的树。
The second was classification (also known as classification tree or decision tree), which can be used to create an actual branching tree to predict the output value of an unknown data point.
第二种技术是分类（即分类树或决策树），用来创建一个实际的分支树来预测某个未知数据点的输出值。
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？
Classification, as we saw from the example in the previous article, USES every data instance to create a tree, which we would traverse to find our answer.
分类，如我们在前一篇文章的例子中看到的，使用每个数据实例来创建树，我们需要遍历此树才能找到答案。
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。
Decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm, the experiment results are given.
利用决策树算法对乳腺癌图像数据进行分类，实现了一个基于决策树算法的医学图像分类器，获得了分类的实验结果。
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。
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。
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。
Firstly, a classification-tree is constructed based on specification of the test object, and then test cases obtained from the classification-tree are refined by generating a disjunctive normal form.
由软件的形式规格说明构造分类树，再把由分类树方法得到的测试用例转化为析取范式，进一步精炼测试用例。
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。
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。
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。
This paper introduces the classification model of random decision tree and how to heuristic selected the depth and the number, the experiment shows that the algorithm is effectiveness and efficiency.
该文介绍了随机决策树分类模型及如何启发式选择随机决策树的深度及棵树，通过实验证明了该算法的有效性和高效性。
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。
Produce an algorithm based on encoding binary tree and supporting vector multi-category classification algorithm.
给出了一种基于编码二叉树的支持向量的多类分类算法。
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。
Thermal analysis methods not only can be used in tree classification but also supply much messages for taxonomy.
这种分类方法是可靠的，且可为树木(或植物)分类学提供更有价值的信息。
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