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。
Most data mining tools use rule discovery and decision tree technology to extract data patterns and rules; its core is the inductive algorithm.
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。
Aim To study the application of decision tree algorithm for medical image data mining.
目的研究决策树算法在医学图像数据挖掘中的应用。
This paper firstly introduces the principle of Data Mining technology and the decision tree method.
本文首先详细介绍了数据挖掘技术及其中的决策树方法。
Decision tree is a basic learning method in machine learning and data mining.
决策树是机器学习和数据挖掘领域中一种基本的学习方法。
In data mining, decision tree algorithm is a key research direction.
在数据挖掘中，决策树方法是一个重点研究方向。
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。
Most data mining tools for knowledge discovery generally use rule discovery and decision tree technology to extract data patterns and rules.
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。
Decision Tree is a useful method of data mining.
决策树是数据挖掘中的常用方法。
Decision tree is a convenient and practical method for data mining.
决策树方法是数据挖掘的一种方便而实用的方法。
Decision tree is one of the important Categorising Data Mining methods.
决策树是分类数据挖掘的重要方法。
Recruit Selecting; Data Mining; Decision Tree.
招募遴选；资料探勘；决策树。
Also, for the continuity in Diabetes Mellitus data, choosing the C4.5 algorithm in Decision Tree method to be the data mining algorithm.
同时，由于糖尿病数据的连续性，选用了决策树方法中的c4.5算法作为数据挖掘算法。
The paper establishes decision-making tree data mining model and clustering data mining model to make data mining with a multi-dimension data collection.
建立了渔船决策树挖掘模型及渔船年审聚集挖掘模型，对多维数据集进行了数据挖掘。
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.
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。
This essay is researching the Decision Tree Algorithm of Data Mining and the use in the Customer Drain analysis.
本文主要是研究数据挖掘中的决策树算法以及决策树算法在具体的小灵通流失分析中的研究与分析。
Results The decision tree algorithm ID3 and C4.5 for medical image data mining are realized, the experiment results are given.
结果实现了ID3和C4.5算法对图像数据的分类，获得了分类的实验结果。
About Data Mining ID3 decision tree algorithm code.
说明：关于数据挖掘中的决策树id3算法的代码。
A data mining process for evaluating the database of stocks by using computational verb decision tree was introduced in brief.
最后简单介绍了利用计算动词决策树对股票价格数据库进行数据挖掘的过程。
In this paper, an example of decision training for exchanging stocks were used to show the usefulness of computational verb decision tree to data mining historical records of dynamical processes.
本文通过对股票交易的决策来说明计算动词决策树对于动态过程历史记录的数据挖掘是非常有效。
Decision tree is an important tool for data mining. However, the design of optimal decision tree is proved to be a NPcomplete problem.
决策树是一种重要的数据挖掘工具，但构造最优决策树是一个NP -完全问题。
The decision tree is a frequently-used classification method in data mining, it is easy to understand and large in scope to apply.
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。
Value reduction in rough set theory and decision tree in data mining are effectively used in the classification, but each of them has shortcomings.
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。
Absrtact: The decision tree is a usual method of classification in data mining.
摘要：决策树是数据挖掘任务中分类的常用方法。
Therefore, It possesses important theoretic and practical significance to make further improvement of decision tree algorithm, make it more suitable for data mining application requirements.
因此，进一步改进决策树算法，使其更加适合数据挖掘的应用要求，具有重要的理论和现实意义。
Methods decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm.
方法利用决策树算法对乳腺癌图像数据进行分类，提出了一个基于决策树算法的医学图像分类器。
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.
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。
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