分类树

基于语义分类树的汉语口语理解方法

Approach to Spoken Chinese Understanding Based on Semantic Classification Trees

模式识别中分类树方法可用于提高模式分类的速度。

Classification trees are often used in pattern recognition to speed up the classification .

基于分类树的P2P电子商务平台搜索机制的研究

Research on Searching Mechanism Based on Category Tree in P2P E-commerce Platform

应用分类树模型筛选logistic回归中的交互因素

Apply Classification Tree to Automatically Screen Some Potential Interaction Factors in Logistic Regression

目的探讨分类树中的QUEST算法和多水平logistic模型联合应用于分析层次资料的可行性。

Objective To explore the possibility of combining application of QUEST arithmetic with Multilevel logistic model .

分类树中QUEST算法与多水平logistic模型的联合应用与比较

Application of Combining QUEST Arithmetic in Classification Tree with Multilevel Logistic Model in Analyzing a Real Data Concerning Prenatal Care

本文主要着重于数据挖掘技术在保险业CRM系统中的应用研究。主要采用了分类树和关联规则方法，来发现隐含在客户行为中的规则，将抽象的数据转换成用户可以利用的信息。

Decision tree and rule-based method are adopted to explore the possible rules in customer business behavior and transform the raw data into useful information .

同时为得到结构多种多样的树，我们将蒙特卡洛方法耦合到分类树算法中，通过使用fuzzy修剪和集成策略，巧妙地构造了一种新颖的树核。

Simultaneously , in order to obtain the diversity of tree structures , We coupled Monte Carlo procedure with a classification tree algorithm , and skillfully constructed a novel tree kernel by using the fuzzy pruning strategy and ensemble strategy .

目的建立用于诊断结直肠癌患者Dukes分期的分类树模型。

Objective To create a decision classification tree model of diagnosing the Dukes stage in colorectal carcinoma .

与直接使用ISODATA聚类法生成的分类树相比，在分类树差错率同为1%的情况下，新算法生成的分类树的速度增益是原分类树的1.6倍。

The speed gain using the new classification tree algorithm was 1.6 times that using the ISODATA clustering method .

CART包括分类树和回归树两部分，分类树的结果变量是分类变量，回归树的结果变量是连续变量。

CART was structured by two parts , classification tree and regression tree . Classification tree used nominal variable as outcome , and regression tree used continuous variable as outcome .

针对基于Apriori的算法需要多次访问数据库并产生大量候选项目集的缺点，提出一种基于分类树的算法。

In order to overcome disadvantages of Apriori based algorithms that need to access database many times and produce a lot of candidate item-sets , a classification tree based algorithm is designed .

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。

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 .

文中针对草原煤矿城市的特点，提出了基于分类树和BP神经网络的土地覆被环境信息的提取方法，并利用GPS对结果进行了随机抽样验证，证明采用本方法是完全可行的。

In view of characteristics of prairie coal cities , an extraction method of land cover environmental information based on sort tree and BP neural network is put forward in the paper , which is proved to be feasible through testing the results randomly with GPS .

就本文的数据而言，最终得出了神经网络模型最好，分类树模型次之，Logistic回归模型最差的结论。

As for the data set of this dissertation , we finally come to the conclusion that Neural network model is relatively the best of the four models , classification tree model ranks the second , and Logistic regression method is not fit for the data we have used .

本文的主要工作包括：（1）引入直角多边形建筑物模型，并以此为基础提出了基于面积因子和基于CART分类树的建筑物外形标绘算法。

The work including : ( 1 ) A right-angled polygon building model is introduced , which is based on rectangle structure graphics . A building extraction algorithm based on rectangle structure graphics and an algorithm based on CART is proposed from the model .

基于模式识别与智能系统技术的发射器类型识别，运用CART训练集与考试集相互独立的分类树构造方法，先对给定数据样本近似相等地划分成训练集和考试集，然后分别独立使用。

The emitter type recognition method based on mode recognition and intelligent system adopts the method of constructing CART 's training set and testing set respectively . At first , the data sample is divided into training set and testing set approximately and two sets are used separately .

方法以浙江省嘉善县乳腺癌现场调查数据为例，采用ExhaustiveCHAID法建立分类树模型对调查结果进行危险因素筛选，使用错分概率Risk值和ROC曲线下面积对模型进行评价。

Methods Data was analyzed from a survey that conducted on 84 breast cancer patients and 273 cancer-free controls selected randomly in Jiashan county . The classification tree model was constructed using Exhaustive CHAID method and evaluated by the Risk statistics and the area under the ROC curve .

针对Cobweb的不足，引入了粗糙集理论求解属性&值对组的一个最佳归约集，然后结合Cobweb算法构建分类树。

Aiming at the shortage of Cobweb and according to some correlative theories , the theory of rough set was imported to solve a best reduced set of attribute-value pairs , and then it was combined with Cobweb algorithm to construct a hierarchical tree .

分类树算法及其在通用档案管理系统中的应用

Catalog Tree Algorithm and Its Application on Universal Archive Management System

对于这类数据，分类树是一种极不适合的数据挖掘模型。

It 's a bad data mining model for this data .

那么为什么有人会想要将信息从分类树中删除呢？

Why would someone want to remove information from the tree ?

基于规则动态解析的层次分类树控件

Divisive Hierarchical Clustering Tree Control Based on Dynamic Parse of Rule

分类树在满意顾客特征分析中的应用

Application of Classified Tree to Characteristics Analysis of Satisfied Customer

基于分类树归纳的模糊轴系诊断规则抽取

Fuzzy Rule Extraction Based on Classfication Tree for Rotor System Fault Diagnosis

基于形式规格说明和分类树方法生成软件测试用例

Test Case Design Based on Formal Specification and Classification - tree Method

自杀未遂影响因素与高危人群的分类树分析

Classification tree analysis on epidemic factors and high-risk populations of attempted suicide

基于特征向量和分类树的签名认证方法

Signature Verification Based on Feature Vectors and Clustering Trees

高血压危险因素分类树分析

Classification tree analysis on risk factors of essential hypertension

我们在这里本应选择的并非分类树。

A classification tree is not the model we should have chosen here .