【正文】 t locked into deploying on Windows and the platform runs on a few nonWindows platforms, the ASp part does cannot expect to deploy serious applications on multiple servers and operating some applications, this difference does not others, it ma。s usual “embrace and extend” this point, Gosling lightheartedly interjected “You mean disgrace and distend.”Now, the grievance that Gosling was airing was that he felt that this pany would take technology from other panies and suborn it for their own guess what? The shoe is on the other foot Java munity did not invent the idea of designing pages as a mixture of static HTML and dynamic code marked with special example, ColdFusion did it years ASp(a product from the very software pany of the aforementioned manager)popularized this approach before JSp came along and decided to jump on the fact, JSp not only adopted the general idea, it even used many of the same special tags as ASp , the question bees: why use JSp instead of one of these other technologies? Our first response is that we are not arguing that everyone of those other technologies are quite good and are reasonable options in some other situations, however, JSp is clearly are a few of the and Active Server pages(ASp).NET is welldesigned technology from is the part that directly petes with servlets and advantages of JSp are , JSp is portable to multiple operating systems and Web servers。在這類系統(tǒng)上的查詢處理可能會(huì)設(shè)計(jì)在服務(wù)器端數(shù)據(jù)庫上的查找?；谙嗨菩缘牟樵円约鞍纯梢源_保的速率傳送數(shù)據(jù)是當(dāng)前研究的重要課題。設(shè)計(jì)數(shù)據(jù)基本上是以矢量數(shù)據(jù)的形式存儲(chǔ)，而地理數(shù)據(jù)則包含矢量數(shù)據(jù)和光柵數(shù)據(jù)。數(shù)據(jù)可視化系統(tǒng)幫助人們從視覺上發(fā)現(xiàn)這些知識(shí)?，F(xiàn)已提出SQL擴(kuò)展，如cube操作，能幫助系統(tǒng)生成匯總數(shù)據(jù)。越來越多的數(shù)據(jù)會(huì)放在由用戶管理、而不是由數(shù)據(jù)庫管理員管理的計(jì)算機(jī)上，并且這些計(jì)算機(jī)有時(shí)可能與網(wǎng)絡(luò)斷開連接。能源（電池能源）對(duì)應(yīng)動(dòng)計(jì)算機(jī)來說是有限的資源，這一限制影響了系統(tǒng)設(shè)計(jì)的許多方面。例如，一個(gè)旅客信息系統(tǒng)提供關(guān)于酒店、路邊服務(wù)的信息及類似信息給乘車的旅客。無線計(jì)算使得計(jì)算機(jī)不必有固定的位置和網(wǎng)絡(luò)地址這使得查詢處理更加復(fù)雜，因?yàn)樗y于決定實(shí)體化查詢結(jié)果的最佳位置。然而以下這兩個(gè)技術(shù)趨勢的結(jié)合產(chǎn)生了一些應(yīng)用，這些應(yīng)用使中央控制和管理不再完全正確：● 個(gè)人計(jì)算機(jī)越來越廣泛的使用，其中更重要的 是便攜式或“筆記本”計(jì)算機(jī)的使用。移動(dòng)性和個(gè)人數(shù)據(jù)庫大型商用數(shù)據(jù)庫傳統(tǒng)上是存儲(chǔ)在中央計(jì)算設(shè)備上的。此外這種情況還會(huì)造成不一致，譬如一個(gè)文件在數(shù)據(jù)庫中做了記錄，但其內(nèi)容卻丟失了；或其相反情況。構(gòu)造這種多媒體對(duì)象的數(shù)據(jù)庫的方法之一是用數(shù)據(jù)存儲(chǔ)描述屬性，并且跟蹤存儲(chǔ)這些媒體對(duì)象的文件?？傊?，事務(wù)更新、查詢機(jī)制和索引也開始變的很重要。當(dāng)多媒體對(duì)象的數(shù)目相對(duì)較少時(shí)，數(shù)據(jù)庫提供的特點(diǎn)往往不那么重要。多媒體數(shù)據(jù)庫最近，有關(guān)多媒體數(shù)據(jù)（如圖像、聲音和視頻）的數(shù)據(jù)庫的研究很熱門。地理數(shù)據(jù)可以分為兩類：光柵數(shù)據(jù)（這種數(shù)據(jù)由二維或更高維的位圖或像素圖組成）、矢量數(shù)據(jù)（由基本幾何對(duì)象構(gòu)成）。地圖和衛(wèi)星圖像是地理數(shù)據(jù)的典型例子。地理數(shù)據(jù)庫常稱為地理信息系統(tǒng)。另一個(gè)計(jì)算機(jī)輔助設(shè)計(jì)數(shù)據(jù)庫的重要例子是整合電路和電子設(shè)備設(shè)計(jì)圖?？臻g和地理數(shù)據(jù)庫空間數(shù)據(jù)庫存儲(chǔ)有關(guān)空間位置的信息，并且對(duì)高效查詢和基于空間位置的索引提供支持。規(guī)則發(fā)現(xiàn)的方式依賴于數(shù)據(jù)挖掘應(yīng)用的類型。其主要的區(qū)別在于數(shù)據(jù)庫中處理的數(shù)據(jù)量，以及是否需要訪問磁盤。我們用如下兩個(gè)模型之一從數(shù)據(jù)庫中發(fā)現(xiàn)規(guī)則：● 在第一個(gè)模型中，用戶直接參與知識(shí)發(fā)現(xiàn)的過程● 在第二個(gè)模型中，系統(tǒng)通過檢測數(shù)據(jù)的模式和相互關(guān)系，自動(dòng)從數(shù)據(jù)庫中發(fā)現(xiàn)知識(shí)。但是，數(shù)據(jù)挖掘和機(jī)器學(xué)習(xí)的不同在于它處理的是大量數(shù)據(jù)，它們主要存儲(chǔ)在磁盤上。數(shù)據(jù)挖掘這個(gè)概念廣義上講是指從大量數(shù)據(jù)中發(fā)現(xiàn)有關(guān)信息，或“發(fā)現(xiàn)知識(shí)”。數(shù)據(jù)庫應(yīng)用從廣義上可分為事務(wù)處理和決策支持兩類。我們可以通過使用簡單的SQL查詢語句提供大量用于決策支持的信息。下面我們要研究幾個(gè)新的應(yīng)用，近年來它們變得越來越重要。湖州師范學(xué)院（求真學(xué)院）畢業(yè)設(shè)計(jì)（論文）外文文獻(xiàn)翻譯畢業(yè)設(shè)計(jì)（論文）題目翻譯（1）題目翻譯（2）題目學(xué)院 專業(yè) 姓名 班級(jí) 學(xué)號(hào) 指導(dǎo)教師第三篇：畢業(yè)設(shè)計(jì)(論文)外文翻譯(原文)畢業(yè)設(shè)計(jì)（論文）——外文翻譯（原文）NEWAPPLICATIONOFDATABASERelational databases have been in use for over two large portion of the applications of relational databases have been in the mercial world, supporting such tasks as transaction processing for banks and stock exchanges, sales and reservations for a variety of businesses, and inventory and payroll for almost of all study several new applications, which have bee increasingly important in recent systemAs the online availability of data has grown, businesses have begun to exploit the available data to make better decisions about increase can extract much information for decision support by using simple SQL however, people have felt the need for better decision support based on data analysis and data mining, or knowledge discovery, using data from a variety of applications can be broadly classified into transaction processing and decision systems are widely used today, and panies have accumulated a vast amount of information generated by these term data mining refers loosely to finding relevant information, or “discovering knowledge,” from a large volume of knowledge discovery in artificial intelligence, data mining attempts to discover statistical rules and patterns automatically from , data mining differs from machine learning in that it deals with large volumes of data, stored primarily on discovered from a database can be represented by a set of can discover rules from database using one of two models:In the first model, the user is involved directly in the process of knowledge the second model, the system is responsible for automatically discovering knowledge from the database, by detecting patterns and correlations in the on automatic discovery of rules has been influenced strongly by work in the artificialintelligence munity on machine main differences lie in the volume of data handled in databases, and in the need to access datamining algorithms have been developed to handle large volumes of diskresident data manner in which rules are discovered depends on the class of datamining illustrate rule discovery using two application classes: classification and and Geographic DatabasesSpatial databases store information related to spatial locations, and provide support for efficient querying and indexing based on spatial types of spatial databases are particularly important:Design databases, or puteraideddesign(CAD)databases, are spatial databases used to store design information about how objectssuch as buildings, cars or aircraftare important examples of puteraideddesign databases are integratedcircuit and electronicdevice databases are spatial databases used to store geographic information, such as databases are often called geographic information data are spatial in nature, but differ from design data in certain and satellite images are typical examples of geographic may provide not only location informationsuchas boundaries, rivers and roadsbut also much more detailed information associated with locations, such as elevation, soil type, land usage, and annual data can be categorized into two types: raster data(such data consist a bit maps or pixel maps, in two or more dimensions.), vector data(vector data are constructed from basic geographic objects).Map data are often represented in vector