界面设计毕业论文英文

Abstractnbsp;Datanbsp;miningnbsp;isnbsp;anbsp;databasenbsp;applicationnbsp;andnbsp;researchnbsp;ofnbsp;anbsp;newnbsp;area,nbsp;itsnbsp;objectivesnbsp;throughnbsp;thenbsp;analysisnbsp;ofnbsp;historicalnbsp;data,nbsp;statisticsnbsp;ofnbsp;interestnbsp;tonbsp;usersnbsp;ornbsp;valuablenbsp;;Innbsp;stocknbsp;tradingnbsp;business,nbsp;everynbsp;daynbsp;largenbsp;amountsnbsp;ofnbsp;datanbsp;intonbsp;thenbsp;datanbsp;warehouse,nbsp;thenbsp;datanbsp;onnbsp;ournbsp;understandingnbsp;ofnbsp;marketnbsp;trends,nbsp;makenbsp;thenbsp;rightnbsp;investmentnbsp;decision-makingnbsp;providesnbsp;anbsp;theoreticalnbsp;basisnbsp;fornbsp;;Withnbsp;timenbsp;seriesnbsp;analysisnbsp;ofnbsp;theorynbsp;andnbsp;researchnbsp;methodsnbsp;tonbsp;graduallynbsp;mature,nbsp;innbsp;thenbsp;stocknbsp;analysisnbsp;ofnbsp;thenbsp;forecastnbsp;ofnbsp;timenbsp;seriesnbsp;analysisnbsp;hasnbsp;becomenbsp;anbsp;practicalnbsp;;Fromnbsp;thenbsp;perspectivenbsp;ofnbsp;applications,nbsp;datanbsp;miningnbsp;onnbsp;thenbsp;relatednbsp;concepts,nbsp;throughnbsp;thenbsp;time-seriesnbsp;datanbsp;analysisnbsp;andnbsp;processing,nbsp;designednbsp;tonbsp;achievenbsp;anbsp;stocknbsp;transactionnbsp;pricenbsp;forecastnbsp;fornbsp;thenbsp;objectivesnbsp;ofnbsp;thenbsp;intelligentnbsp;datanbsp;miningnbsp;;Thenbsp;systemnbsp;backgroundnbsp;SQLnbsp;Servernbsp;2005nbsp;usingnbsp;thenbsp;availablenbsp;time-seriesnbsp;datanbsp;fornbsp;thenbsp;pretreatment,nbsp;andnbsp;thennbsp;buildnbsp;onnbsp;thesenbsp;time-seriesnbsp;datanbsp;miningnbsp;;Outlooknbsp;fornbsp;thenbsp;usenbsp;ofnbsp;Cnbsp;#nbsp;languagenbsp;designnbsp;systemnbsp;interface,nbsp;usersnbsp;neednbsp;onlynbsp;anbsp;simplenbsp;operationnbsp;cannbsp;viewnbsp;thenbsp;timenbsp;seriesnbsp;miningnbsp;model,nbsp;andnbsp;usenbsp;thenbsp;modelnbsp;tonbsp;predictnbsp;thenbsp;stocknbsp;transactionnbsp;;Thisnbsp;studynbsp;proposednbsp;thenbsp;adoptionnbsp;ofnbsp;ournbsp;historynbsp;tonbsp;predictnbsp;thenbsp;futurenbsp;providenbsp;anbsp;favourablenbsp;environmentnbsp;fornbsp;;Keyword:nbsp;datanbsp;mining,nbsp;timenbsp;seriesnbsp;analysis;nbsp;Microsoftnbsp;timingnbsp;algorithm;nbsp;timenbsp;seriesnbsp;miningnbsp;model;nbsp;Stocknbsp;pricesnbsp;werenbsp;forecast;

不是吧。。。自己的作业要自己做诶算了，帮帮吧。最难的一段帮你搞定了，其他的你自己搞定咯。前言：Let's cut the shit, and get translate the following text using formal writing. Those who use online/electronic/machine translators, please save the time to fuck yourself. Thank you very much.废话不多说下面这段话翻译成英文谢谢要求写的正规点 翻译器什么的 拜托休息下正文第一段人类发展到今天，人们的日常生活已经完全离不开电脑的帮助。而当人们每天打开电脑所看到的大部分是微软公司设计的windows的界面。作为操作系统业界的龙头，windows系统虽不敢称为是最受欢迎的操作系统，但却肯定是目前最主流的，最普及的。尤其随着windows vista ,windows 7等新版本的上市又为操作系统市场，注入了新鲜血液。As we can see, through the process of human civilization, computers have become an inevitable need in our daily lives. Ninety percent of the interfaces we see as we start our computers, are the "Windows" designed by Microsoft. As the head in the business of operating systems, Windows may not be the best rated, but it is definitely the mainstream. This proven fact has been reinforced as the Windows Vista, Windows 7 and other latest editions hit the market, along with their new possibilities.

Abstract Data mining is a database application and research of a new area, its objectives through the analysis of historical data, statistics of interest to users or valuable information. In stock trading business, every day large amounts of data into the data warehouse, the data on our understanding of market trends, make the right investment decision-making provides a theoretical basis for research. With time series analysis of theory and research methods to gradually mature, in the stock analysis of the forecast of time series analysis has become a practical significance. From the perspective of applications, data mining on the related concepts, through the time-series data analysis and processing, designed to achieve a stock transaction price forecast for the objectives of the intelligent data mining system. The system background SQL Server 2005 using the available time-series data for the pretreatment, and then build on these time-series data mining model. Outlook for the use of C # language design system interface, users need only a simple operation can view the time series mining model, and use the model to predict the stock transaction price. This study proposed the adoption of our history to predict the future provide a favourable environment for evidence. Keyword: data mining, time series analysis; Microsoft timing algorithm; time series mining model; Stock prices were forecast;

Human development to today, people's daily life has been completely inseparable from the computer help. And when people open the computer each day to see most of Microsoft's design of windows interface. As the industry's leading operating system, windows system, although not known as the most popular operating system, but it is definitely the most mainstream, the most popular. In particular, with the windows vista, windows 7, and other new version of the listing again for the operating system market, an injection of fresh blood. Windows systems development to today, to accompany us through 25 years, after wind and rain, while there are also mixed it, but we must recognize that the popularity of its computers, played a significant role. Over the years Microsoft has been constant innovation to improve their work, in these improvements in a matter of course also includes a windows interface design. From the seventies and eighties, the DOS system, black white text, to 1985, the first generation of color windows interface, to present windows7, 0 interface design, world design has also undergone enormous changes. The thrust of this paper is to study the past 25 years, windows interface design, design history and world relevance, and necessity.

推荐楼主用机译,因为这个文章实在很长.

Abstract Data mining is a database application and research of a new area, its objectives through the analysis of historical data, statistics of interest to users or valuable information. In stock trading business, every day large amounts of data into the data warehouse, the data on our understanding of market trends, make the right investment decision-making provides a theoretical basis for research. With time series analysis of theory and research methods to gradually mature, in the stock analysis of the forecast of time series analysis has become a practical significance. From the perspective of applications, data mining on the related concepts, through the time-series data analysis and processing, designed to achieve a stock transaction price forecast for the objectives of the intelligent data mining system. The system background SQL Server 2005 using the available time-series data for the pretreatment, and then build on these time-series data mining model. Outlook for the use of C # language design system interface, users need only a simple operation can view the time series mining model, and use the model to predict the stock transaction price. This study proposed the adoption of our history to predict the future provide a favourable environment for : data mining, time series analysis; Microsoft timing algorithm; time series mining model;