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。
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.
本文提出了一种基于决策树分类器的数据包分类算法。
The thesis researches an algorithm based on decision tree classifier for packet filtering.
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.
这种算法基于二值图像，先从二值图像中找出各数字的特征，然后再用决策树对这些数字进行分类。
The method is based on a binary image. First, the authors extract the features of every numeral in the image, then classify the numerals by a decision tree.
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.
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。
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。
Methods decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm.
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