classification analysis中文是什么意思

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中文翻譯
造句

分類分析

classification n. 1.選別；分等，分級；分選。 2.【動、植】分類( ...
analysis n. (pl. -ses ) 1.分解，分析；【數(shù)學】解 ...
danac data analysis and classification 數(shù)據(jù)分析與分類
multiple classification analysis 多重分類分析
classification n. 1.選別；分等，分級；分選。 2.【動、植】分類(法)。〔分類級別為： phylum 【動物；動物學】及 division 【植物；植物學】門，class 綱，order 目，family 科，genus 屬，species 種，variety 品種〕。 3.類別；等級；(文件的)保密級。 a classification yard (車站的)調車場。
analysis n. (pl. -ses ) 1.分解，分析；【數(shù)學】解析。 2.梗概，要略。 3.〔美國〕用精神分析法治療(＝ psychoanalysis)。 in the last analysis= on (the last) analysis 歸根結底，總之。 under analysis 在精神分析治療下。
be analysis 損益分界分析,保本分析
in the analysis of 在對……進行分析時
on analysis 經分析后
analysis analysis 分析，解析
a broad classification 粗略的分類
abbott classification 阿波特分類法
abc classification abc分類法; abc分類管理; 分類管理
account classification 會計科目表; 帳戶分類; 帳目分類，會計科目分類
accounting classification 會計分類; 會計科目分類
activity classification 操作分類; 業(yè)務活動分類; 作業(yè)分類，業(yè)務分類
administrative classification 行政管理類別
agency classification 按部門分類
agricultural classification 農藝分類
agroclimatic classification 農業(yè)氣候分型
air classification 風選; 空氣分級; 空氣分類; 空氣風力分級; 空氣風力分離; 氣力分選; 氣流分級
airflow classification 分流式分選
airmass classification 氣團分級; 氣團分類
algorithm classification 算法分類
alphabetical classification 字母分類法

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例句與用法

Style classification analysis of chinese mutual funds
中國證券投資基金風格分類研究
Gray system classification analysis and lake eutrophication assessment
灰色系統(tǒng)聚類分析與湖泊富營養(yǎng)程度評價
And effects on improving original inversion image are clear by associated use of post treatments , variance truncating , median filtering and classification analysis
依據(jù)模型參數(shù)方差向量，本文提出了方差截斷后處理方法，并結合中值濾波和聚類分析，對原始反演圖像進行去噪后處理，成效明顯。
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
本文旨在嘗試在對民族主義進行分類、對民族主義在冷戰(zhàn)后的表現(xiàn)及民族主義泛起的原因進行分析的基礎上，對全球化時代民族主義在新世紀的發(fā)展趨勢做初步的探討。
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
“交通部紀檢監(jiān)察統(tǒng)計分析系統(tǒng)”根據(jù)用戶提出的靈活統(tǒng)計、從數(shù)據(jù)中發(fā)現(xiàn)規(guī)律、直觀展現(xiàn)數(shù)據(jù)的需求，應用olap 、概念描述等描述數(shù)據(jù)挖掘技術，實現(xiàn)了基本情況分析、分類分析、動態(tài)分析、關聯(lián)分析、特征值分析等一系列功能，以透視表、透視圖為主要的數(shù)據(jù)展現(xiàn)方式，較好的滿足了用戶的需求，得到了用戶的肯定。
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
本文對振湘項目二期工程的商業(yè)智能分析子系統(tǒng)進行了分析和設計，嘗試應用數(shù)據(jù)挖掘來完成購物籃分析、客戶細分等分析功能，并且對在電子商務系統(tǒng)中結合企業(yè)需求提供基于數(shù)據(jù)挖掘的智能分析服務進行了有意義的研究探索。
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
數(shù)據(jù)挖掘( datamining )是信息處理技術研究領域的一項重要課題。它是指從大型數(shù)據(jù)庫或數(shù)據(jù)倉庫中提取隱含的、未知的、非平凡的以及有潛在應用價值的信息或模式的過程。
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
論文闡述了數(shù)據(jù)挖掘技術在國內外的研究現(xiàn)狀,對目前主要的數(shù)據(jù)挖掘算法如聚類分析、分類分析、相關分析和統(tǒng)計分析進行了剖析,對當前最為流行的數(shù)據(jù)挖掘工具ibmintelligentminer 、 spssclementine及sasenterpriseminer進行比較分析,闡述了數(shù)據(jù)挖掘技術的未來發(fā)展趨勢。
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 ；單種屬占總屬數(shù)的39 39 ，其種數(shù)僅占總種數(shù)的門26 ；而6個優(yōu)勢科中所含的種數(shù)占到總種數(shù)的903 ， 9個優(yōu)勢屬中所含的種數(shù)占總種數(shù)的47

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