database research中文是什么意思

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中文翻譯
造句

數(shù)據(jù)庫(kù)研究

research n. 1.仔細(xì)搜索 (for, after)。 2.〔常 ...
rare diseases clinical research database 罕見病臨床研究數(shù)據(jù)庫(kù)
database 建立數(shù)據(jù)庫(kù); 數(shù)據(jù)處理; 數(shù)據(jù)庫(kù)系統(tǒng); 信息庫(kù); 一個(gè)數(shù)據(jù)庫(kù)的名稱，或者部分?jǐn)?shù)據(jù)庫(kù); 應(yīng)用軟件與數(shù)據(jù)庫(kù); 中事務(wù)的回滾就是撤銷已執(zhí)行的步驟; 資料庫(kù) 數(shù)據(jù)庫(kù) 信息基; 資料庫(kù) [數(shù)據(jù)庫(kù)
in database 智能網(wǎng)數(shù)據(jù)庫(kù)
and research 經(jīng)驗(yàn)與研究，100; 未來與研究，109，111，153
research n. 1.仔細(xì)搜索 (for, after)。 2.〔常 pl.〕研究，調(diào)查，探測(cè)；追究。 literary [scientific] researches 文學(xué)[科學(xué)]研究。 basic research 理論研究。 a scholar of great research 非常有研究的學(xué)者。 be engaged in research 從事研究。 scholastic research 繁瑣的追究。 vt.,vi. 追究；調(diào)查，研究 (sth., into sth.)。
research into 探究; 研究
research of 個(gè)案管理研究
research on research科學(xué)管理; 關(guān)于研制過程的研究
research-on-research 對(duì)研究方法和發(fā)展過程的系統(tǒng)性研究; 關(guān)于研制過程的研究; 科學(xué)研究, 科學(xué)學(xué)
mine database demining database 地雷數(shù)據(jù)庫(kù)
adjacencies database 相鄰數(shù)據(jù)庫(kù)
advanced database 高級(jí)數(shù)據(jù)庫(kù)
agent database 數(shù)據(jù)庫(kù)代理
alias database 別名數(shù)據(jù)庫(kù)
application database 應(yīng)用數(shù)據(jù)庫(kù)
application of database 數(shù)據(jù)庫(kù)應(yīng)用; 數(shù)據(jù)庫(kù)原理及應(yīng)用
archival database 檔案式數(shù)據(jù)庫(kù)
archive database 檔案數(shù)據(jù)庫(kù)
assertion database 斷言數(shù)據(jù)庫(kù)
atemporal database 非時(shí)域數(shù)據(jù)庫(kù)
authenticate database 鑒定數(shù)據(jù)庫(kù)
auxiliary database 輔助數(shù)據(jù)庫(kù)
b database 數(shù)據(jù)庫(kù)
banking database 銀行數(shù)據(jù)庫(kù)

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例句與用法

Statistics and analysis of theses of special databases research in recent decade
近十年特色數(shù)據(jù)庫(kù)研究論文的統(tǒng)計(jì)與分析
Heterogeneous database integration is an important branch in database research
異構(gòu)數(shù)據(jù)庫(kù)集成是近年來數(shù)據(jù)庫(kù)界的研究熱點(diǎn)。
The development of huge databases and cooperation among data warehouses has led to a number of new challenges for the database research community
大型數(shù)據(jù)庫(kù)的發(fā)展和數(shù)據(jù)倉(cāng)庫(kù)之間的合作給數(shù)據(jù)庫(kù)研究者帶來了許多新的挑戰(zhàn)。
Data mining technology can help us discover useful schema from great capacity of data , and has become a new hotspot hi database research field
數(shù)據(jù)挖掘技術(shù)可以幫助我們從海量數(shù)據(jù)中發(fā)現(xiàn)有用的模式，已經(jīng)成為數(shù)據(jù)庫(kù)研究的一個(gè)新的熱點(diǎn)。
It is our viewpoint that xml database research will receive benefits from the well - established relational database theory and technology especially in xml databases " early stage
成熟的關(guān)系數(shù)據(jù)庫(kù)理論和技術(shù)，必定能在xml數(shù)據(jù)庫(kù)發(fā)展的初期，引導(dǎo)xml數(shù)據(jù)庫(kù)的發(fā)展。
Multimedia database has been the highlight among all kinds of study in the field of database research , and yet there are still many technical obstacle to overcome
隨著計(jì)算機(jī)多媒體技術(shù)的發(fā)展和人們對(duì)多媒體信息方面的需求增加，我們的科學(xué)研究人員在多媒體數(shù)據(jù)庫(kù)方面也投入了更大的精力。
A survey on recent progress in database research . journal of computer science and technology , 2003 , 18 : 538 - 552 . 23 papadopoulos a , manolopoulos y . parallel processing of nearest neighbor queries in declustered spatial data
Ii引入了一個(gè)新穎的度量metric來減少查找空間，即將點(diǎn)到最小邊界矩形mbr之間的距離擴(kuò)展成直線段或軌跡段到mbr之間的距離。
Data mining is one of the researching focus and frontiers in the modem database research area , and proved to - be a multi - discipline field , of which the text mining and text classification are most active ones in applications
數(shù)據(jù)挖掘是當(dāng)前數(shù)據(jù)庫(kù)學(xué)科理論研究的焦點(diǎn)與前沿，是一個(gè)多學(xué)科交叉領(lǐng)域，而文本挖掘與文本分類是數(shù)據(jù)挖掘極具應(yīng)用前景的分支。
Xml can represent complex graph - structured data and has been one of data exchange standard . and the most important problem is how to efficiently store and query large xml data in database research area
Xml可以方便地表示復(fù)雜的圖模型數(shù)據(jù)規(guī)范并已成為通用信息交換標(biāo)準(zhǔn)之一,從數(shù)據(jù)庫(kù)的角度對(duì)其進(jìn)行研究,最主要的研究問題是如何有效地存儲(chǔ)和查詢大規(guī)模的xml數(shù)據(jù)。
So data mining is a very valued new area of database research area , and it is a crossed subject that adopts theory and technology of database and artificial intelligent and machine learning and statistics and so on
因此，數(shù)據(jù)挖掘是數(shù)據(jù)庫(kù)研究中的一個(gè)很有應(yīng)用價(jià)值的新領(lǐng)域，它又是一門廣義的交叉學(xué)科，融合了數(shù)據(jù)庫(kù)、人工智能、機(jī)器學(xué)習(xí)、統(tǒng)計(jì)學(xué)等多個(gè)領(lǐng)域的理論和技術(shù)。

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