data analysis method中文是什么意思

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中文翻譯
造句

數(shù)據(jù)分析法

data n. 1.資料，材料〔此詞系 datum 的復(fù)數(shù)。但 d ...
analysis n. (pl. -ses ) 1.分解，分析；【數(shù)學(xué)】解 ...
method n. 1.方法，方式；順序。 2.(思想、言談上的)條理 ...
analysis of data 分析資料; 數(shù)據(jù)的分析, 資料分析; 數(shù)據(jù)分析
data analysis 數(shù)據(jù)分析；資料分析; 數(shù)據(jù)資料分析; 資料分析
analysis method 解析法; 離子微探針質(zhì)譜儀分析法
method analysis 方法研究
method of analysis 分析法; 解析法
acoustic data analysis center 聲學(xué)數(shù)據(jù)分析中心; 水聲數(shù)據(jù)分析中心
adaaerodynamic data analysis program 氣動(dòng)數(shù)據(jù)分析計(jì)劃
agent data analysis 數(shù)據(jù)分析代理
analysis called subscriber data 被叫用戶(hù)數(shù)據(jù)分析
analysis data set functions 分析數(shù)據(jù)集功能
analysis of data collected 采集數(shù)據(jù)分析; 分析所收集資料
analysis of debugger data 調(diào)試程序數(shù)據(jù)分析
analysis of foreign statistical data 國(guó)外統(tǒng)計(jì)資料分析
analysis of hydrological data 水文資料分析
analysis of statistical data 統(tǒng)計(jì)數(shù)據(jù)分析
automated data analysis system 自動(dòng)化數(shù)據(jù)分析系統(tǒng)
automatic data analysis system 自動(dòng)數(shù)據(jù)分析系統(tǒng)
business data analysis 商業(yè)數(shù)據(jù)分析
categorical data analysis 分類(lèi)數(shù)據(jù)分析
control chart for analysis data 用控制圖分析資料
core analysis data 巖心分析數(shù)據(jù)
core-analysis data 巖心分析數(shù)據(jù)

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例句與用法

Integrated with domestic and foreign economical theory that people have obtained common consensus , mainly based on data in yearbook of china transportation & communications , making use of exploratory data analysis method and factor analysis method etc . , the dissertation aims to find out the law and tendency of communications and transportation ' s development , make economic forecasting , test reliability and feasibility of all sorts of economical theory and recommend for all or different governments and enterprises
本論文主要從交通統(tǒng)計(jì)年鑒數(shù)據(jù)出發(fā)，結(jié)合國(guó)內(nèi)外已取得共識(shí)的經(jīng)濟(jì)理淪，運(yùn)用探索性數(shù)據(jù)分析和因子分析等方法，借以找出交通運(yùn)輸業(yè)發(fā)展的規(guī)律性及其發(fā)展趨勢(shì)，用以作經(jīng)濟(jì)預(yù)測(cè)，檢驗(yàn)各種經(jīng)濟(jì)理論的可靠性和可行性，并為各級(jí)政府和企業(yè)的經(jīng)濟(jì)決策提供數(shù)量化建議。
The advantage is that in view of the actual mobile telecom market of yz city during the research we comprehensively adopt many scientific market research methods such as questionnaire , data analysis method , depth interviews and subjective probability then use the spss to analyze the data to get plenty of valuable market information . the advice we offered can be profitable strategic reference when the mobile telecom company set down their marketing policies on market development and product development
突出的地方在于結(jié)合yz市移動(dòng)通信市場(chǎng)實(shí)際情況，科學(xué)地采用了分層抽樣方式，綜合運(yùn)用了問(wèn)卷法、資料分析法、主觀概率法和深度訪談法等調(diào)查方法，使用了spss軟件進(jìn)行統(tǒng)計(jì)分析，從而獲得了豐富的較有價(jià)值的市場(chǎng)信息，并從市場(chǎng)基本戰(zhàn)略的角度提出針對(duì)性的策略建議，為運(yùn)營(yíng)商進(jìn)行市場(chǎng)和產(chǎn)品開(kāi)發(fā)及市場(chǎng)戰(zhàn)略的制定提供有益的參考。
We generalize the notion of information tables to ordered information tables by adding order relations on attribute values . a data analysis method is thus proposed to describe properties of ordered information tables . we define the concepts of reduct and core etc . by analyzing the attribute dependency in ordered information tables ; the thesis also proposes and formalizes the problem of mining ordering rules , designs the ordered decision logic language ( odl - language ) , and gives a solution for mining ordering rules
從數(shù)據(jù)挖掘的角度考慮對(duì)象排序問(wèn)題，通過(guò)引進(jìn)屬性值上的有序關(guān)系，作者擴(kuò)充了常見(jiàn)的屬性值方法，提出了有序信息表的形式化概念，進(jìn)而提出了一個(gè)有序信息表上的數(shù)據(jù)分析方法，通過(guò)分析有序信息表中的屬性依賴(lài)，定義了有序信息表的約簡(jiǎn)集和核的概念；作者還提出和形式化了有序信息表中挖掘有序規(guī)則的問(wèn)題，設(shè)計(jì)了有序決策邏輯語(yǔ)言( odl ) ，并給出了一個(gè)挖掘有序規(guī)則的方法。
This paper recurred to the basic theory of rough set of data mining and under the direction of the frame of intelligent decision , the main theories include i ) the different methods of data mining on the base of rough set are used to deal with typical decision system namely consistent decision system and inconsistent decision system in order to carry through data reduction and rule distilment ; ii ) in the environment of dynamic increment database , the methods of data reduction to deal with the original data and increment data are discussed in the consistent and inconsistent decision system ; iii ) the method of data mining of rough set is analysized to treat with the attributes with priority ; iv ) on the base of basic rough set theory , the data analysis methods of amalgamation of rough set theory ; v ) and also the pre - disposal method to database is analysize
本文從系統(tǒng)工程進(jìn)行決策分析的角度出發(fā)，借助數(shù)據(jù)挖掘技術(shù)中粗糙集的基本理論，在智能決策框架的指導(dǎo)下，研究了基于數(shù)據(jù)挖掘的智能決策理論及方法。主要理論包括：如何利用粗糙集對(duì)典型的決策系統(tǒng)即相容性決策系統(tǒng)和不相容性決策系統(tǒng)運(yùn)用不同的數(shù)據(jù)挖掘方法進(jìn)行有效的數(shù)據(jù)約減和規(guī)則提取；在增量動(dòng)態(tài)的數(shù)據(jù)庫(kù)環(huán)境下討論了在典型決策系統(tǒng)中對(duì)原始數(shù)據(jù)和增量數(shù)據(jù)進(jìn)行數(shù)據(jù)約減的方法；分析了帶有優(yōu)先權(quán)屬性的粗糙集數(shù)據(jù)挖掘方法；以基本粗糙集為基礎(chǔ)探討了粗糙集擴(kuò)展模型的數(shù)據(jù)分析方法；研究了粗糙集數(shù)據(jù)預(yù)處理方法。

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其他語(yǔ)種釋義

data analysis methodとは意味：データ解析法｛かいせきほう｝

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