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.
分类(也即分类树或决策树)是一种数据挖掘算法，为如何确定一个新的数据实例的输出创建逐步指导。
Classification (also known as classification trees or decision trees) is a data mining algorithm that creates a step-by-step guide for how to determine the output of a new data instance.
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。
There are some various algorithms in data mining, and decision tree classification algorithm is the most popular one.
ID 3算法是数据挖掘中经典的决策树分类算法，该算法具有抗噪声能力差的缺点。
ID3 algorithm is a classical algorithm in data mining, this algorithm has the worse ability to resist noise.
大部分数据挖掘工具采用规则发现和决策树分类技术来发现数据模式和规则，其核心是归纳算法。
Most data mining tools use rule discovery and decision tree technology to extract data patterns and rules; its core is the inductive algorithm.
决策树是分类数据挖掘的重要方法。
Decision tree is one of the important Categorising Data Mining methods.
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；
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.
用于知识发现的大部分数据挖掘工具均采用规则发现和决策树分类技术来发现数据模式和规则。
Most data mining tools for knowledge discovery generally use rule discovery and decision tree technology to extract data patterns and rules.
基于分类决策树算法，建立了一个挖掘体系。
An intelligent mining system is created based on the decision tree algorithm.
决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。
Decision tree is an important method in induction learning as well as in data mining, which can be used to form classification and predictive model.
所有资料经预处理后，导入SQL2000数据库，利用其中的数据挖掘工具——微软决策树进行分类节点变量的选取，以此构建病例组合。
After pretreatment, the data were loaded in SQL2000 server database. We established the case mix of the inpatient using the grouping node selected by decision tree.
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.
决策树是数据挖掘技术中一种常用的分类方法，易于理解，应用范围广泛。
The decision tree is a frequently-used classification method in data mining, it is easy to understand and large in scope to apply.
本文从这一实际问题出发，对数据挖掘中用于分类的核心算法之一——决策树方法进行了深入地研究。
As for the problem above, the paper in-depth researches one of the core algorithms which are applied to classification-decision tree algorithm.
粗糙集理论中的值约简和数据挖掘领域中的决策树都是有效的分类方法，但二者都有其局限性。
Value reduction in rough set theory and decision tree in data mining are effectively used in the classification, but each of them has shortcomings.
摘要：决策树是数据挖掘任务中分类的常用方法。
Absrtact: The decision tree is a usual method of classification in data mining.
针对数据挖掘中的分类问题，依据组合分类方法的思想，提出一种基于遗传算法的多重决策树组合分类方法。
Based on thought of multiple classifiers combination method, this paper proposes a combination classification method of multiple decision trees based on PSO Algorithm.
针对数据挖掘中的分类问题，依据组合分类方法的思想，提出一种基于遗传算法的多重决策树组合分类方法。
Based on thought of multiple classifiers combination method, this paper proposes a combination classification method of multiple decision trees based on PSO Algorithm.
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