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？
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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；
To solve the problem, the concepts and formal definitions including direct classification schema, tree classification schema, classification rule, and family constraining expression were presented.
为了解决这个问题，给出了直接分类模式、树分类模式、分类法则和科目约束表达式等概念和形式化定义。
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。
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。
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。
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。
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。
Meanwhile it describes the decision tree classification algorithm in detail, analyzes the ID3, C4.5 and other prevalent decision tree algorithm.
同时详细的阐述了决策树分类算法，并对比较流行的决策树算法id3、C4.5等算法进行详细分析与比较。
In the paper it puts forward and implements a hibernal tree automatic classification system based on Bayes.
提出并实现了一个基于贝叶斯的冬态树木自动分类的系统。
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