In this sense, the decision tree method is less effective than the strategic matrix method.
从这个意义上来说，决策树法不如策略距阵法有效。
Therefore, the decision tree method is a simple and useful tool for computer-aided diagnosis.
因此，决策树是一种简便可行的计算机辅助诊断方法。
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。
In the paper, the problem of freeway incident duration prediction is studied by decision tree method.
利用决策树方法对高速公路事件持续时间预测问题进行研究。
The graphite morphologies were identified by using correlated functions and the decision tree method.
应用关联函数及决策树方法对石墨形态进行判别。
Steady state fault detection and diagnosis of liquid propellant rocket engines based on decision tree method;
利用液体火箭发动机作动力装置的火箭，又称液体推进剂火箭。
It is difficult to use the decision tree method to find the sub-optimal solution, not to mention the alternative ranking.
利用传统的决策树方法，无法确定一个次优方案，对所有方案进行排序也很难。
The experimental result shows that the decision tree method is feasible and efficient, providing a new analysis means for businessman.
通过实验进行验证，结果表明该方法是可行和有效的，为商家提供了一种新的分析思路。
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。
According to the defect of present decision tree method some improved methods are given in the paper, it is a replenishment to the present method.
本文针对现行决策树方法的缺点提出几种改进的方法，它是对现行方法的一种补充。
Up to now, the decision tree method is used to find the optimal solution of a Bayesian decision problem, that is, to select an optimal one from several decision alternatives.
决策树方法一直被用于贝叶斯决策问题的最优方案选择，即从若干决策方案中选择一个最优方案。
According to the relationship between auto correlation function and its spectral density, a new type of decision tree method based on signal analysis theory is proposed in this paper.
该文根据自相关函数与谱密度函数之间的对应关系，提出了一种新的基于自相关函数的决策树归纳学习算法。
The decision tree method is the effective method of detecting for concept describing space and the representative learning way in exampling learning of which specially dispose mass object.
决策树方法是发现概念描述空间的一种特别有效的方法，是实例学习中具有代表性的学习方法，专门用于处理大量对象。
Experiment is the traditional method for analysing multivalue BIOS of decision tree algorithm, but it has a fault that we must have the expertise of the specific field.
实验方法是分析决策树算法中的多值偏向问题的传统方法，其缺点是需要具备该数据领域的专家知识。
Decision Tree is a useful method of data mining.
决策树是数据挖掘中的常用方法。
The principle and the decision steps of decision tree analysis method are introduced; at the same time the application of this method in construction bidding is illustrated.
介绍了决策树法的原理、决策步骤，举例说明了决策树法在施工投标中的应用。
This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.
提出一种基于云理论和神经网络构造决策树的文本分类方法。
Based on decision tree combined strategy and multiple kernel learning support vector machines, a new fault diagnosis method is proposed to improve the precision and speed of fighter fault diagnosis.
为了提高歼击机故障诊断的准确性与实时性，提出一种基于决策树型组合策略的多重核学习支持向量机诊断方法。
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。
Introducing the decision tree classifiers into packet filtering technology, it changes the conventional method searching the packet orderly.
把决策树分类器引入包过滤技术当中，改变了传统的顺序检索包过滤的方法。
In this paper, through integrating the sizes tree with sizes matrix, this problem has been discussed on theory, method, and application, a decision method has been given.
本文应用尺寸树与尺寸矩阵相结合的方法，从理论上、方法上、应用上对该问题进行了探讨，并给出了具体决策方法。
Decision tree quantification method is introduced and quantification formula and examples are also given.
介绍了决策树量化的方法，给出了量化的公式和实例。
This paper presents a new method of WEB text categorization rule extraction based on the CHI value theory, rough set theory and decision tree.
本文根据CHI值原理、粗集理论和决策树原理，提出了一种抽取Web文本分类规则的新方法。
In this paper, a new method which combines unsupervised and supervised learning strategy is put forward to construct the multi classification decision tree.
提出了一种融合无监督和监督两种学习策略生成多分类决策树的方法。
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。
The results of experiment demonstrate that the SVM decision tree built up by this method has a good classification performance.
实验结果表明，这种方法构造的SVM决策树分类器分类性能较好。
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。
Secondly, the case organization method based on the decision tree and case revise method based on the fuzzy reasoning are discussed in detail.
详细讨论了基于决策树的案例组织方法和基于模糊推理的案例修正方法。
Secondly, the case organization method based on the decision tree and case revise method based on the fuzzy reasoning are discussed in detail.
详细讨论了基于决策树的案例组织方法和基于模糊推理的案例修正方法。
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