Chinese translation for "tree classifier"

树状分类器

Related Translations:

sludge classifier:  除泥分级器

structured classifier:  结构化类元

consenco classifier:  自动卸载式干涉沉降分级机

fahrenwald classifier:  法伦瓦德式分级机

cascade classifier:  梯级式分选机

classifier fan:  分级机风扇

classifier tank:  分级槽分级箱

table classifier:  淘汰盘， 摇床摇床用的分级机

tank classifier:  槽式分级机

duplex classifier:  双重分粒器

Example Sentences:

	1.	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。
	2.	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。
	3.	Conception hierarchy tree classifiers which is a statistical approach have played an important role in attribute - oriented induction . it can help us discover the characteristics of data , make them more understandable and organized in concept - oriented structure 通过它对数据库中的数据进行分类可以帮助我们发现数据的特征，以更加容易理解的方式总结数据，并且依据面向概念的结构来组织数据。
	4.	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。
	5.	Decision tree models are simple and easy to understand , easily converted into rules . it also can be constructed relatively fast compare to some of other methods . moreover , decision tree classifiers obtain similar and sometimes better accuracy when compared with some of other classification methods 与其他分类算法相比，它能够较快的建立简单、易于理解的模型，容易转换成规则，而且具有与其他分类模型同样的，有时甚至更好的分类准确性。
	6.	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。
	7.	Data warehouse is a hot research area in 90s its main motif is to provide the decision - maker a powerful tool : gathering the data in pure consistent , relevant pattern , and making use of the data in managing analyzing , data - mining purposec that means that the decision - maker can use the tool to understand , grasp the situation of the business from different directions and forecast the future of it when using data warehouse , the processing speed determines data warehouse ' s practicability and processing ability the hoc ( highway decision center ) system realized before solves some key problems about intermediate scale data , mainly concentrating data warehouse performance coefficient when using hdc in large scale data , it encountered processing speed problem then the settlement of this problem becomes a major research point so , based on the former research achievements , the present task is to construct the renowned data warehouse architecture and its relevant algorithms , then adapts the system to the large scale dataset with data mining functions c this paper is a part of the research in order to construct the powerful system , a key problem is to cope with the processing - speed problem and the data space problem , etc , - caused by the large scale dataset and magnificent dataset this is also the core in the present data mining research this paper ' s motive is to design and realize a decision - tree classifier in the data warehouse system for large - scale dataset 大型数据仓库的处理速度问题目前是制约其推广应用的关键所在，也是这一领域的一个重要研究课题，也正是我们当前工作的重点：在前期研究工作的基础上围绕提高大型数据仓库处理速度问题，建立改进的数据仓库系统模型和相关算法，开发出面向中级以上企事业单位的、具有数据挖掘和分析能力的大型数据仓库系统。建立大型数据仓库所面临的关键问题，是如何妥善解决实际业务数据的大规模、海量特征所带来的处理速度和空间等问题，这也是当前挖掘技术研究必然面对的核心问题。本研究的目的是设计并实现大型数据仓库系统中的分类数据挖掘工具? ?决策树分类器，主要工作是在综合了解现有决策树分类算法的研究情况的前提下，对决策树算法适应大规模数据集的问题进行探讨，力求设计出能较好地适应大规模数据的分类器算法。

Similar Words：

"tree census" Chinese translation, "tree circuit" Chinese translation, "tree city usa" Chinese translation, "tree class" Chinese translation, "tree classification" Chinese translation, "tree clearer" Chinese translation, "tree climate" Chinese translation, "tree climbers" Chinese translation, "tree climbing" Chinese translation, "tree clubmoss" Chinese translation