应用关联函数及决策树方法对石墨形态进行判别。
The graphite morphologies were identified by using correlated functions and the decision tree method.
在数据挖掘中，决策树方法是一个重点研究方向。
In data mining, decision tree algorithm is a key research direction.
决策树方法是数据挖掘的一种方便而实用的方法。
Decision tree is a convenient and practical method for data mining.
本文首先详细介绍了数据挖掘技术及其中的决策树方法。
This paper firstly introduces the principle of Data Mining technology and the decision tree method.
与决策树方法比较，具有更一般、合理、判别精细的优点。
It is a measurable judging way, and is more generic and logic than decision-making tree.
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。
In the paper, the problem of freeway incident duration prediction is studied by decision tree method.
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。
It is difficult to use the decision tree method to find the sub-optimal solution, not to mention the alternative ranking.
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。
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.
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。
Also, for the continuity in Diabetes Mellitus data, choosing the C4.5 algorithm in Decision Tree method to be the data mining algorithm.
系统采用决策树方法作为数据挖掘方法的基本算法，采用训练与学习相结合实现土地定级估价。
For land grading and evaluating, training and learning method is adopted and the integration of them implemented.
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。
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.
该算法综合了决策树方法和贝叶斯方法的优点，既有良好的可解释性，又有良好的增量学习能力。
The new algorithm combines the merit of decision tree induction method and naive Bayesian method. It retains the good interpretability of decision tree and has good incremental learning ability.
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.
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.
目的利用居民健康档案数据和决策树方法，建立糖尿病预测模型，建立社区新型糖尿病高危人群筛选模式。
OBJECTIVE To set up the prediction model for evaluating the risk of diabetes mellitus(DM)in community by application of decision tree with data from health records.
在结合数据融合和数据挖掘的医疗监护模型的建模方面，采用多层感知器网络和决策树方法建立报警决策器的模型。
For modeling of medical ward based on data fusion and data mining, multi - layer perceptron network and decision trees are used.
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。
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.
将改进的P SO引入到决策树建树方法中，并与传统的决策树方法及使用遗传算法改进后的树进行比较，验证了其优越性。
Building up decision tree by improved PSO, the paper gives the example to validate that the improved algorithm is better than the original decision tree method and by improved by GA.
对某大型液体火箭发动机的热试车数据及通过发动机模型仿真得到的故障数据进行动态时间弯曲分析，得到弯曲路径集，然后结合决策树方法进行了故障检测和诊断。
Through dynamic time warping analysis to the hot-fire test data and simulated fault data of a certain liquid rocket engine, the warped path sets were obtained.
“决策树”仅是一种方法，它罗列出影响你健康的选项，并对每个选项存在的风险和好处进行评估。
A decision tree is just a way of diagramming the choices that affect your health and weighing the risks and benefits of each.
决策树解决方法的复杂度是多少？
经实验证明，用该方法构造的决策树与传统的基于信息熵方法构造的决策树相比较，复杂性低，且能有效提高分类效果。
The experiments show that, compared with the entropy-based method, our method is simpler in the structure, and can improve the efficiency of classification.
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。
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.
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。
This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.
方法：基于决策树设计一个临床图表帮助临床医生进行AIS侧弯分型。
Methods. A clinical diagram derived from a decision tree was developed to help clinicians classify AIS curves.
决策树是数据挖掘中的常用方法。
介绍了决策树量化的方法，给出了量化的公式和实例。
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。
Decision tree quantification method is introduced and quantification formula and examples are also given.
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