multidimensional modeling中文是什么意思

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中文翻譯
造句

多維模擬, 多維模型化

multidimensional adj. 多面的；【數(shù)學(xué)】多維的。
modeling n. 制造模型的方法，造型(術(shù))；塑像術(shù)；【美術(shù)】立體感(表現(xiàn)法)；模特兒職業(yè)。 the modeling of one's features 某人臉部的形象。
a multidimensional personality 多面性格138
multidimensional access 多維存取
multidimensional allocation 多維分配
multidimensional analysis 多維分析
multidimensional analysiss 多維度分析
multidimensional array 多維數(shù)組
multidimensional attack 立體攻擊
multidimensional chromatograph 多維色譜儀
multidimensional chromatography 多向?qū)游?/li>
multidimensional clustering 多維群集
multidimensional code 多維碼
multidimensional coding 多維編碼
multidimensional consequence 多維結(jié)果
multidimensional convolution 多維卷積; 多維褶積
multidimensional data 多維數(shù)據(jù)
multidimensional derivative 多維導(dǎo)數(shù)
multidimensional detection 多維檢測(cè)
multidimensional ellipsoid 多維橢面
multidimensional estimator 多維估計(jì)式
multidimensional flow 多維流動(dòng)
multidimensional geometry 多維幾何形態(tài)
multidimensional hierarchy 多維層次結(jié)構(gòu)
multidimensional integral 多維積分

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例句與用法

In a multidimensional model, the data aggregation path is the important part of dimension table design
在多維模型中，數(shù)據(jù)聚集路徑是維度表設(shè)計(jì)中的重要部分。
With the example of water and rainfall analysis of flood decision support system, the paper gives how to build a multidimensional model and develop a data-driven dss application
最后，以水雨情分析作為決策主題，給出了開發(fā)實(shí)例，圍繞典型的olap多維分析應(yīng)用，對(duì)數(shù)據(jù)-驅(qū)動(dòng)dss的實(shí)際開發(fā)進(jìn)行了有益的探索。
The advantage of such multidimensional model is that query speed is quick, it is also rapid to make report forms; the shortcoming is that the course of modeling is comparatively slower because of a large amount of preconditioning existing
這種多維模型的優(yōu)點(diǎn)是查詢速度快,做報(bào)表也快;缺點(diǎn)是由于存在大量的預(yù)處理,其建模過程相對(duì)來說就比較慢。
This paper is in the discussion in-depth the technology of data warehouse, especially based on the on-line analytical processing ( olap ), summarizing through an analysis of complicated medical activity, puts forward a special, large-scale and unified storage sets suiting practical application of the hospital, sets up a hospital topic data warehouse based on multidimensional model, and organizes the data by analyzing the topic for the basic frame
本文在深入探討數(shù)據(jù)倉(cāng)庫(kù)技術(shù)、特別是聯(lián)機(jī)分析處理(olap)的基礎(chǔ)上,通過對(duì)復(fù)雜的醫(yī)療活動(dòng)的分析概括,提出了適合醫(yī)院實(shí)際應(yīng)用的一個(gè)專門的、大型統(tǒng)一的數(shù)據(jù)存儲(chǔ)集合,建立起基于多維模型的醫(yī)院主題數(shù)據(jù)倉(cāng)庫(kù),以分析主題為基本框架來組織數(shù)據(jù)。
The author have studied data warehouse and olap and data mining, then discussed the relevant concepts, development status, system structure and implementation in details; meanwhile, through studying the data model of university enrollment examination, integrating with data obtaining technology, multidimensional modeling technology and olap in data warehouse, designed a data mart of university enrollment examination and thus developed a data analyzing system of university enrollment examination based on model supporting decision and olap and data mining
本論文對(duì)數(shù)據(jù)倉(cāng)庫(kù)、聯(lián)機(jī)分析處理和數(shù)據(jù)挖掘技術(shù)進(jìn)行了研究，并詳細(xì)介紹了有關(guān)的概念、發(fā)展?fàn)顩r、體系結(jié)構(gòu)和實(shí)現(xiàn)手段；同時(shí)，通過對(duì)普通高校招生考試的數(shù)據(jù)模型進(jìn)行研究，結(jié)合數(shù)據(jù)倉(cāng)庫(kù)中的數(shù)據(jù)獲取技術(shù)、多維建模技術(shù)設(shè)計(jì)了一個(gè)以普通高校招生考試數(shù)據(jù)分析為主題的數(shù)據(jù)集市，并在此基礎(chǔ)上綜合運(yùn)用聯(lián)機(jī)分析處理技術(shù)、數(shù)據(jù)挖掘技術(shù)和模型輔助決策技術(shù)實(shí)現(xiàn)了一個(gè)招生考試數(shù)據(jù)分析系統(tǒng)。
Secondly, we study the asymptotic behavior of the global spherically symmetric smooth solutions to the initial boundary value problem for the multidimensional model for semiconductors in the exterior domain, i . e ., we prove that the solution of the problem converges to a stationary solution time asymptotically exponentially fast . this result was published in the journal of henan university ( natural science, 4 ( 2003 ) )
其次，研究在外部區(qū)域上的高維流體動(dòng)力模型初邊值問題:證明了該問題的解依指數(shù)形式收斂到對(duì)應(yīng)穩(wěn)態(tài)問題的解，這一結(jié)果已發(fā)表在河南大學(xué)學(xué)報(bào)(自然科學(xué)版)2003年第四期上。
During the process of setting up the data warehouse, it merges the thoughts of two kinds of design methods ‘ from bottom to top ’ and ‘ from top to bottom ’, develops and analyzes the topics with the multidimensional model, guarantees to implement quickly and obtains investment repayment rapidly . then, on the basis of making actual effect, it increases the application topics gradually, advances step by step, accumulates experience, therefore it will build up an enterprise layer data warehouse progressively
在建立數(shù)據(jù)倉(cāng)庫(kù)的過程中,融合了自下而上和自上而下兩種設(shè)計(jì)方法的思想,以多維模型開發(fā)分析主題,確保快速實(shí)施,迅速獲得投資回報(bào),在取得實(shí)際效果的基礎(chǔ)上,再逐漸增加應(yīng)用主題,循序漸進(jìn),積累經(jīng)驗(yàn),由此逐步建成企業(yè)級(jí)數(shù)據(jù)倉(cāng)庫(kù)。

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