decision tree
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英汉解释
英英解释
例句
The attributes of this person can be used against the decision tree to determine the likelihood of him purchasing the M5.
对这个决策树使用此人的这些属性就可以确定他购买M5的可能性。
The following diagram displays the questions as a decision tree and will help you visualize how the various questions relate to one another.
下面的关系图将这些问题显示为决策树，将帮助您以可视化形式了解不同问题之间的相互关系。
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”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。
Using Q statistic to measure the diversity of a pair of learners, a new selective ensemble learning method for decision tree is proposed.
使用Q统计量度量两个学习器的差异度，提出一种新的决策树选择性集成学习方法。
In all of the classification arithmetic, decision tree is a technique which is in common use and easy to implement.
在各种分类算法中，决策树方法是最为普遍且易于实现的方法。
The basic concept of the decision tree, the main researching content and several classic decision tree algorithms are introduced detailedly.
本文详细阐述了决议计划树的基本概念、主要研讨内容和几种典型的决议计划树算法。
Classification is a very important task in Data mining. Decision tree is one of the common classification algorithms.
分类在数据挖掘中是一项非常重要的任务，决策树方法是一种常用的方法。
In the custom credit analysis, decision tree is always used to separate the custom because of the large amount of nominal variables.
在银行客户信贷信用评估分析中，由于数据中的大量名义变量，决策树经常被用来进行数据分类。
Conclusion. Transfer of a computer algorithm, a decision tree, to a clinical diagram improved both accuracy of AIS classification.
结论：从一种计算机算法——决策树演变而来的一种临床图表能提高所有专家及非专家AIS分型的准确度。
Decision tree technology is one of the important technologies in solving classification problems.
决策树是一种求解分类问题的重要技术。
Decision tree represents the information of the original dataset by an explicit tree model.
决策树通过一个简洁的树型结构代表了原始数据的信息。
A decision tree was found to be a suitable companion for investors during the course of their decision.
在决策过程中决策树可以作为投资者的一个很好投资决策分析方法。
Real estate investment risk is only expected value method, decision tree method and so on, which are rarely applied in practice.
房地产投资风险决策也只有期望值法、决策树法等方法，然而这些方法在实际中也很少得到应用。
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。
An individual's willingness to take a risk can be determined by: Decision tree modeling. Monte Carlo method. Sensitivity analysis.
一个个人愿意接受风险的程度是由什么决定的：决策树模型蒙特卡洛分析敏感度分析效用分析。
A decision tree show all the successive decision points, or nodes, for a single decision maker in a neutral environment.
决策树表示在一个中立的环境下，单个决策者所有的连续决策点。
The data mining system builds corresponding decision tree, creates corresponding rules which can be used to make prediction.
根据数据挖掘模型建立了相应的决策树，产生了对应的规则集，并能根据规则集进行预测。
C4. 5 decision tree algorithm is a popular method used for data mining, by which data can be quickly and accurately classified.
5决策树算法是一种流行的用于数据挖掘的方法，可以快速准确地将数据分类。
Objective: Traditionally, classification via a decision tree has been primarily used to distinguish between types of customers.
目标：传统上，决策树之分类技术在市场上多运用于顾客资料的区隔分析。
Pruning decision tree may occur in the process of creating decision tree or after that, the former is called pre-pruning.
修剪决策树可以在决策树生成时或生成后，前者称为事前修剪。
One method includes the construcion of a decision tree that describes the possible courses of action available and the consequences of each.
某一种方法包括一个决断体系的结构，它描述各种可行的措施的可能的程序和每一措施的后果。
The sorting is one of the most important tasks in the data mining and the decision tree and rough set are two main methods used to sort.
分类在数据挖掘中是一项非常重要的任务，而决策树方法和粗糙集方法则是分类的主要方法。
A classifier is the basic method in the data mining, and a decision tree is one of the most important classifiers.
分类器是数据挖掘的一种基本方法，决策树是一种最重要的分类器。
Parallelizing the pruning of a decision tree is more complicated, since different pathways need to be explored to different depths.
由于不同的路径需要进行不同的深度探索，所以并行化一个决策树的裁剪过程变得非常复杂。
Methods. A clinical diagram derived from a decision tree was developed to help clinicians classify AIS curves.
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。
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。
This paper regards decision tree as basic classifier, and introduces the least square technology for linear fusion.
以决策树作为基本分类器，引入最小二乘技术进行多分类器线性融合。
Results The precision of the Bayes and neural network algorithms is better than the decision tree algorithm.
结果贝叶斯分类算法和神经网络算法的分类准确率高过决策树算法。
The simulation results suggest that the control based decision tree is intelligent and different pruning strategies bring different results.
通过仿真实验说明：基于决策树的控制具有一定的智能；
Multiway decision tree has important applications in pattern recognition, artificial intelligence and decision support systems.
多元分类树在模式识别、人工智能及决策支持系统等领域有着重要的应用。
I try to combine the Decision Tree with Receding Optimization to provide a new solution for the Composite Predictive Problem.
我尝试结合滚动时优化，以提供一个综合预测问题的新解决方案的决策树。
To meet the requirements of customer credit analysis, sales data from a certain steel mill are analyzed with the help of decision tree.
针对客户信用分析的需求，利用决策树技术对某钢厂的销售数据进行分析。
At the end of the decision tree is an indicator defining how a component is isolated.
决策树的末尾是一个指示器，定义组件如何隔离。
At the last, the paper gives experiment data and experiment result for improved decision tree.
最后，论文给出了改进了的决策树的测试数据和测试结果。
Recommended related back ground of the machine learning, inductive learning, the decision tree study. . . etc. first.
首先介绍了机器学习、归纳学习、决策树学习等方面的相关背景。
The Result shows the decision tree classification can be applicator in the separate manufacture enterprise usefully.
应用表明决策树分类能很好地应用在离散制造型企业中。
Finally, the decision tree classification of experimental and traditional classification methods are compared.
最后进行了决策树分类实验和与传统分类方法的对比分析。
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。
A combined optimization decision tree algorithm suitable for a large scale and high dimension data-base is presented.
提出了一种适合于大规模高维数据库的组合优化决策树算法。
The full mining process for the analysis of student employment using decision tree technology is described in specific applications.
在具体的应用中，详细介绍了决策树技术在学生就业分析挖掘中的全过程。
