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classification analysis中文是什么意思

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用"classification analysis"造句"classification analysis"怎么读"classification analysis" in a sentence

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  • 分类分析

例句与用法

  • Style classification analysis of chinese mutual funds
    中国证券投资基金风格分类研究
  • Gray system classification analysis and lake eutrophication assessment
    灰色系统聚类分析与湖泊富营养程度评价
  • And effects on improving original inversion image are clear by associated use of post treatments , variance truncating , median filtering and classification analysis
    依据模型参数方差向量,本文提出了方差截断后处理方法,并结合中值滤波和聚类分析,对原始反演图像进行去噪后处理,成效明显。
  • It focuses on the classification analysis in terms of the content of nationalism , the geographic boundary of nationalism and the political orientation of nationalism ; part ii analyzes the major features of the contemporary nationalism
    本文旨在尝试在对民族主义进行分类、对民族主义在冷战后的表现及民族主义泛起的原因进行分析的基础上,对全球化时代民族主义在新世纪的发展趋势做初步的探讨。
  • According to user ' s request of flexible query , finding rule through data , data visualizing , jjms applied descriptive data mining including olap , concept description and so on . it realized the function of basic analysis , classification analysis , related analysis , characteristic value analysis . the result show at the way of pivot table , pivot chart . it satisfied the user preferably
    “交通部纪检监察统计分析系统”根据用户提出的灵活统计、从数据中发现规律、直观展现数据的需求,应用olap 、概念描述等描述数据挖掘技术,实现了基本情况分析、分类分析、动态分析、关联分析、特征值分析等一系列功能,以透视表、透视图为主要的数据展现方式,较好的满足了用户的需求,得到了用户的肯定。
  • The third part talks about the analysis and design of the business intelligence module which is a part of zhen xiang project , then explores the application of data mining to provide market basket analysis , customer classification analysis and other intelligent analyses . we research on how to provide intelligent analysis based on data mining for the enterprise in the e - commerce system
    本文对振湘项目二期工程的商业智能分析子系统进行了分析和设计,尝试应用数据挖掘来完成购物篮分析、客户细分等分析功能,并且对在电子商务系统中结合企业需求提供基于数据挖掘的智能分析服务进行了有意义的研究探索。
  • Data mining is an important research subject in the field of information technology . it means a process of nontrivial extraction of implicit , previously unknown and potentially useful information from data in databases or datawarehouses . it involves such subject areas as database , artificial intelligence , machine learning and statistics . classification analysis is an important data mining problem
    数据挖掘( datamining )是信息处理技术研究领域的一项重要课题。它是指从大型数据库或数据仓库中提取隐含的、未知的、非平凡的以及有潜在应用价值的信息或模式的过程。
  • This thesis expatiates on the state - of - the - art of dm technique , with emphasis on data mining algorithms such as clustering analysis , classification analysis , dependence analysis and statistical analysis . a comparative study of three popular dm tools ( ibm intelligent miner , spss clementine and sas enterprise miner ) is carried out . the future trends of dm technology are also revealed
    论文阐述了数据挖掘技术在国内外的研究现状,对目前主要的数据挖掘算法如聚类分析、分类分析、相关分析和统计分析进行了剖析,对当前最为流行的数据挖掘工具ibmintelligentminer 、 spssclementine及sasenterpriseminer进行比较分析,阐述了数据挖掘技术的未来发展趋势。
  • The studying method of flora adopted by this thesis are follows : the statistics of the dominant families and genera , along with single families and genera , abundance index ( ai ) , similarity coefficient of genus ( scg ) , floristic spectrum analysis ( fsa ) , principal components analysis ( pca ) , as well as agglomerative classification analysis ( aca )
    16 ;单种属占总属数的39 39 ,其种数仅占总种数的门26 ;而6个优势科中所含的种数占到总种数的903 , 9个优势属中所含的种数占总种数的47
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