树分类的英文

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英文翻译
造句

tree sort

树 tree
分类 classify
二叉树分类 binary tree sort
决策树分类器 decision tree classifier
故障树分析 fail tree analysis; failure tree analysis; fault tress analysis; fault-tree analysis; fta fault tree analysis; tree analysis
决策树分析 decision tree analysis
缺陷树分析 fault-tree analysis
失效树分析 fail tree analysis; fault tree analysis
事故树分析 event tree analysis
树分析代码 tree analysis code
故障树分析, 失效树分析 fault tree analysis
故障树分析法 fault tree analysis; fta
决策树分析图 deision tree diagram
事件树分析法 event tree analysis
桉树分布类型 pattern eucalypt
分类 1.(使分别归类) classify; itemize; sort 根据起因将事故分类 classify accidents by cause; 根据性别[年龄; 民族; 地区] 分类 classify by sex [age; nationality; locality]; 邮局里的人员将信件按寄送地点分类。 men in the post office classify mail according to places it is to go. 它们是按品种分类的。 they are classified in sorts.2.(分门别类) classification; assortment; systematization; partition; sorting; taxonomy; breakdown 粗略的分类 a broad classification; 使分类系统化 systematize classification; 植物的分类 classification of plants
八叉树分割算法 octree space partitioning
故障树分析程序 procedure for fault tree analysis
随机决策树分析 stochastic decision tree analysis
事故树分析最主要事件 top event of fault tree analysis
分类，分类表 cla ification
分类学，分类 taxonomy
cipw分类 cipw classification
npc 分类 npc-classification
q分类 q sorting

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例句与用法

Compared with the classical model of decision tree , this model has more excellences such as being easy to build the model and to expand , a great capability of fault tolerance
通过与经典的决策树分类模型进行比较，本文分类方案具有建模简单、扩展性好、容错能力强等优点。
A further study has been made about decision tree classification , bayesian network , and discretization of conntinuous attributes , at the same time many kinds of classfication algorithms have been achieved
对决策树分类、贝叶斯网络和连续属性的离散化问题进行了的研究，实现了多种分类算法。
When we design the classification , we combine the tree classification and the support vector machines in order to improve the ability of combining experiences and performance of generalization
在模式识别的分类器设计上，我们采用了树分类器和支持向量机相结合的方法，提高了分类器经验结合的能力和泛化能力。
On the basis of analyzing the classification principle of decision tree classifier and parallelpiped classifier , a new classification method based on normalized euclidian distance , called wmdc ( weighted minimum distance classifier ) , was proposed
通过分析多重限制分类器和决策树分类器的分类原则，提出了基于标准化欧式距离的加权最小距离分类器。
We also make plenty of classification experiments with data sets from various of different fields , and then analyse and compare the classification capacity of several decision tree classification algorithms and the adaptability to different datas
在来自不同领域的数据集上进行了大量的分类实验，分析和比较了多种决策树分类算法的分类性能和对不同数据的适应性。
A decision tree classifier using a scalable id3 algorithm is developed by microsoft visual c + + 6 . 0 . some actual training set has been put to test the classifier and the experiment shows that the classifier can successfully build decision trees and has good scalability
最后着重介绍了作者独立完成的一个决策树分类器。它使用的核心算法为可伸缩的id3算法，分类器使用microsoftvisualc + + 6 . 0开发。
It is demonstrated by simulation data . as for classifier , it presents the artificial neural network . based on three methods of modulation recognition and decision tree classifier and neural network classifier , experimentations have been carried through
在分类器设计方面,介绍了利用神经网络进行模式识别的原理,采用前述的三种特征提取方法,分别结合判决树分类器和神经网络分类器对信号进行分类,并且进行了试验论证。
The algorithm of sf _ dt , which bases on the idea of decision tree classification algorithm ids , use the means of file splitting take the place of the means which bases on memory . it improves the scalability of classification algorithm and can deal with very large database
Sf _ dt算法以决策树分类算法id3的基本思想为基础，用基于文件分割的方法代替原有的基于内存的算法，提高了算法的可规模性，可以处理超大规模的数据。
Aspect to association rules mining , constructing two mining modes : static mining and dynamic mining ; implementing two level mining : single - level mining and domain - level mining . about classification engineering , the mainstream classification techniques were compared through thoroughly experiments , and some improvement was made to decision tree toward the concrete problem , which make naids detect some new type attacks and this kind of capability embodies the advantage of anomaly detection over misuse detection ; incremental mining approach was put forward which detect one window data amount , instead of batch of tcp / ip record , which was very suitable to on - line mining and make naids be high real - time performance
在关联规则挖掘上，建立了两种挖掘模式：静态挖掘模式、动态挖掘模式；实施两个层面上的挖掘：单层面挖掘、领域层面挖掘；在分类引擎的构建上，通过实验综合比较了主流分类技术，并针对具体问题对决策树分类方法进行了应用上的改进，从而使得naids系统具备一定的检测新类型攻击的能力，而这个特性正是异常检测的优势所在；所提出的增量式挖掘方法由于每次只监测一个窗口的数据量，而不是批量处理网络日志，所以非常适合在线挖掘，从而使得naids在实时性上有较好的性能表现。
This paper first illustrated some typical algorithms for large dataset , then gave off a processing diagram in common use second , for the dataset with large quantity and many attributes , we renovated the calculation method of the attribute ' s statistic information , giving off a ameliorated algorithm this thesis consists of five sections chapter one depicts the background knowledge and illustrates the position of data mining among many concepts also here is the data mining ' s category chapter two describes the thought of classification data mining technique , puts forward the construction and pruning algorithms of decision tree classifier chapter three discusses the problems of adapting data mining technique with large scale dataset , and demonstrates some feasible process stepso also here we touches upon the combination r - dbms data warehouse chapter four is the design of the program and some result chapter five gives the annotation the conclusion , and the arrangement of future research
本论文的组织结构为：第一章为引言，作背景知识介绍，摘要阐述了数据挖掘在企业知识管理、泱策支持中的定位，以及数据挖掘的结构、分类；第二章讲述了分类数据挖掘的思路，重点讲解了泱策树分类器的构建、修剪，第三章针对大规模数据对数据挖掘技术的影响做了讲解，提出了可采取的相应的处理手段，以及与关系数据库、数据仓库结合的问题；第四章给出了论文程序的框架、流程设计，以及几个关键问题的设计；第五章对提出的设计进行简要的评述，做论文总结，并对进一步的研究进行了规划。