针对如何有效直观地表示顾客特征问题，讨论用分类树分析有效满意顾客特征的方法，并应用于实例分析。
The method of analyzing the characteristics of satisfied customers through classified tree is discussed in this paper and is applied to a real example.
至今已经提出了决策树的很多算法，通过分析已知的分类信息得到一个预测模型。
So far, there are many algorithms have been given and we can gain a prediction model by analyzed known catalog information.
本文对多级互连网的路由策略进行了分类，并根据这些分类是否适用于胖树进行了分析。
This paper classifies the routing strategy of multistage interconnection network, and analyses whether fat-tree fits with these classifications.
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。
This paper introduces two construction algorithms of Classification decision tree based on parallel algorithm, and analyzes applicability.
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。
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.
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。
Moreover, this thesis compares FCA with clustering analysis, and analyzes the similarities and differences of classification based on concept lattice and decision tree.
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。
Objective:To introduce the basic principle of tree-structured methods, and then use classification trees to analyze a real example in medical research.
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。
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.
在财务因素分析上，采用基于归纳推理方法的决策树方法，分析了财务因素对贷款风险分类的影响。
When analyze financial factor, decision tree method on the basis of inductive reasoning means is adopted to analyze the infection of financial factor to loan risk classification.
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。
Meanwhile it describes the decision tree classification algorithm in detail, analyzes the ID3, C4.5 and other prevalent decision tree algorithm.
其次，在解决工艺参数优化的问题中，本文提出了一种正演的方法，即结合使用决策树分类器以及人工神经网络进行综合分析的方法来完成。
Secondly, in solving the problem that the craft parameter is optimized, this paper has put forward a method to perform, which using decision tree and ANN carry on comprehensive.
最后进行了分步决策树分类实验和与传统分类方法的精度对比分析。
In the end, decision tree classification experiments results and contrastive precision accuracy are obtained.
用分类树模型分析健康的相关因素。
Classification tree model was used to explore health-related factors.
文中详细论述了一种以自适应模板为基础，以决策树为形式，对尿流率进行分类诊断的自动分析方法。
The paper particularly describes the method of diagnose uroflowmetry graph based on the self-adapted template with the form of decision tree.
将粗糙集与决策树结合，提出一个基于RS - DT的邮件分类方案与模型，并进行了实验及结果分析。
Combining rough sets with decision tree, a spam filtering solution based on rough sets and decision tree (RS-DT) was proposed.
分类与预测分析是数据挖掘的主要技术手段之一，至今已在理论和方法上取得了丰硕的研究成果，决策树分类算法就是其中最典型的代表。
Classify and prediction is the main measures in Data Mining, which make great progress in theory and method till now, and Decision Tree arithmetic is the symbol.
分类与预测分析是数据挖掘的主要技术手段之一，至今已在理论和方法上取得了丰硕的研究成果，决策树分类算法就是其中最典型的代表。
Classify and prediction is the main measures in Data Mining, which make great progress in theory and method till now, and Decision Tree arithmetic is the symbol.
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