decision tree
美 
英
- n.〔經(jīng)〕決策樹
- 網(wǎng)絡(luò)判定樹；判斷樹；決策樹分析
英漢解釋
英英解釋
例句
The attributes of this person can be used against the decision tree to determine the likelihood of him purchasing the M5.
對這個決策樹使用此人的這些屬性就可以確定他購買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.
下面的關(guān)系圖將這些問題顯示為決策樹，將幫助您以可視化形式了解不同問題之間的相互關(guān)系。
A decision tree is just a way of diagramming the choices that affect your health and weighing the risks and benefits of each.
“決策樹”僅是一種方法，它羅列出影響你健康的選項，并對每個選項存在的風(fēng)險和好處進(jìn)行評估。
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統(tǒng)計量度量兩個學(xué)習(xí)器的差異度，提出一種新的決策樹選擇性集成學(xué)習(xí)方法。
In all of the classification arithmetic, decision tree is a technique which is in common use and easy to implement.
在各種分類算法中，決策樹方法是最為普遍且易于實現(xiàn)的方法。
The basic concept of the decision tree, the main researching content and several classic decision tree algorithms are introduced detailedly.
本文詳細(xì)闡述了決議計劃樹的基本概念、主要研討內(nèi)容和幾種典型的決議計劃樹算法。
Classification is a very important task in Data mining. Decision tree is one of the common classification algorithms.
分類在數(shù)據(jù)挖掘中是一項非常重要的任務(wù)，決策樹方法是一種常用的方法。
In the custom credit analysis, decision tree is always used to separate the custom because of the large amount of nominal variables.
在銀行客戶信貸信用評估分析中，由于數(shù)據(jù)中的大量名義變量，決策樹經(jīng)常被用來進(jìn)行數(shù)據(jù)分類。
Conclusion. Transfer of a computer algorithm, a decision tree, to a clinical diagram improved both accuracy of AIS classification.
結(jié)論：從一種計算機算法——決策樹演變而來的一種臨床圖表能提高所有專家及非專家AIS分型的準(zhǔn)確度。
Decision tree technology is one of the important technologies in solving classification problems.
決策樹是一種求解分類問題的重要技術(shù)。
Decision tree represents the information of the original dataset by an explicit tree model.
決策樹通過一個簡潔的樹型結(jié)構(gòu)代表了原始數(shù)據(jù)的信息。
A decision tree was found to be a suitable companion for investors during the course of their decision.
在決策過程中決策樹可以作為投資者的一個很好投資決策分析方法。
Real estate investment risk is only expected value method, decision tree method and so on, which are rarely applied in practice.
房地產(chǎn)投資風(fēng)險決策也只有期望值法、決策樹法等方法，然而這些方法在實際中也很少得到應(yīng)用。
Decision tree is an important tool for data mining. However, the design of optimal decision tree is proved to be a NPcomplete problem.
決策樹是一種重要的數(shù)據(jù)挖掘工具，但構(gòu)造最優(yōu)決策樹是一個NP-完全問題。
An individual's willingness to take a risk can be determined by: Decision tree modeling. Monte Carlo method. Sensitivity analysis.
一個個人愿意接受風(fēng)險的程度是由什么決定的：決策樹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.
決策樹表示在一個中立的環(huán)境下，單個決策者所有的連續(xù)決策點。
The data mining system builds corresponding decision tree, creates corresponding rules which can be used to make prediction.
根據(jù)數(shù)據(jù)挖掘模型建立了相應(yīng)的決策樹，產(chǎn)生了對應(yīng)的規(guī)則集，并能根據(jù)規(guī)則集進(jìn)行預(yù)測。
C4. 5 decision tree algorithm is a popular method used for data mining, by which data can be quickly and accurately classified.
5決策樹算法是一種流行的用于數(shù)據(jù)挖掘的方法，可以快速準(zhǔn)確地將數(shù)據(jù)分類。
Objective: Traditionally, classification via a decision tree has been primarily used to distinguish between types of customers.
目標(biāo)：傳統(tǒng)上，決策樹之分類技術(shù)在市場上多運用于顧客資料的區(qū)隔分析。
Pruning decision tree may occur in the process of creating decision tree or after that, the former is called pre-pruning.
修剪決策樹可以在決策樹生成時或生成后，前者稱為事前修剪。
One method includes the construcion of a decision tree that describes the possible courses of action available and the consequences of each.
某一種方法包括一個決斷體系的結(jié)構(gòu)，它描述各種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.
分類在數(shù)據(jù)挖掘中是一項非常重要的任務(wù)，而決策樹方法和粗糙集方法則是分類的主要方法。
A classifier is the basic method in the data mining, and a decision tree is one of the most important classifiers.
分類器是數(shù)據(jù)挖掘的一種基本方法，決策樹是一種最重要的分類器。
Parallelizing the pruning of a decision tree is more complicated, since different pathways need to be explored to different depths.
由于不同的路徑需要進(jìn)行不同的深度探索，所以并行化一個決策樹的裁剪過程變得非常復(fù)雜。
Methods. A clinical diagram derived from a decision tree was developed to help clinicians classify AIS curves.
方法：基于決策樹設(shè)計一個臨床圖表幫助臨床醫(yī)生進(jìn)行AIS側(cè)彎分型。
Decision tree is one of the important Categorising Data Mining methods.
決策樹是分類數(shù)據(jù)挖掘的重要方法。
This paper regards decision tree as basic classifier, and introduces the least square technology for linear fusion.
以決策樹作為基本分類器，引入最小二乘技術(shù)進(jìn)行多分類器線性融合。
Results The precision of the Bayes and neural network algorithms is better than the decision tree algorithm.
結(jié)果貝葉斯分類算法和神經(jīng)網(wǎng)絡(luò)算法的分類準(zhǔn)確率高過決策樹算法。
The simulation results suggest that the control based decision tree is intelligent and different pruning strategies bring different results.
通過仿真實驗說明：基于決策樹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.
多元分類樹在模式識別、人工智能及決策支持系統(tǒng)等領(lǐng)域有著重要的應(yīng)用。
I try to combine the Decision Tree with Receding Optimization to provide a new solution for the Composite Predictive Problem.
我嘗試結(jié)合滾動時優(yōu)化，以提供一個綜合預(yù)測問題的新解決方案的決策樹。
To meet the requirements of customer credit analysis, sales data from a certain steel mill are analyzed with the help of decision tree.
針對客戶信用分析的需求，利用決策樹技術(shù)對某鋼廠的銷售數(shù)據(jù)進(jìn)行分析。
At the end of the decision tree is an indicator defining how a component is isolated.
決策樹的末尾是一個指示器，定義組件如何隔離。
At the last, the paper gives experiment data and experiment result for improved decision tree.
最后，論文給出了改進(jìn)了的決策樹的測試數(shù)據(jù)和測試結(jié)果。
Recommended related back ground of the machine learning, inductive learning, the decision tree study. . . etc. first.
首先介紹了機器學(xué)習(xí)、歸納學(xué)習(xí)、決策樹學(xué)習(xí)等方面的相關(guān)背景。
The Result shows the decision tree classification can be applicator in the separate manufacture enterprise usefully.
應(yīng)用表明決策樹分類能很好地應(yīng)用在離散制造型企業(yè)中。
Finally, the decision tree classification of experimental and traditional classification methods are compared.
最后進(jìn)行了決策樹分類實驗和與傳統(tǒng)分類方法的對比分析。
The decision tree is a frequently-used classification method in data mining, it is easy to understand and large in scope to apply.
決策樹是數(shù)據(jù)挖掘技術(shù)中一種常用的分類方法，易于理解，應(yīng)用范圍廣泛。
A combined optimization decision tree algorithm suitable for a large scale and high dimension data-base is presented.
提出了一種適合于大規(guī)模高維數(shù)據(jù)庫的組合優(yōu)化決策樹算法。
The full mining process for the analysis of student employment using decision tree technology is described in specific applications.
在具體的應(yīng)用中，詳細(xì)介紹了決策樹技術(shù)在學(xué)生就業(yè)分析挖掘中的全過程。
