毕业设计论文，本人英语水平有限，需要英语高手帮我把摘要翻译成英文！谢谢哦～～

Question

必须人工翻译啊！软价翻译就不用了，我自己会。。。
翻译的特别好的话，再追加50分！
摘要
数据挖掘是数据库应用和研究的一个新领域，其目标是通过对历史数据的分析，统计出用户感兴趣或有价值的信息。在股票交易事务处理中，每天都有大量的数据注入数据仓库，这些数据对我们了解股市走势，做出正确的投资决策提供了理论研究依据。
随着时间序列分析理论和研究方法的逐步成熟，在股票系统分析中应用时间序列的预测分析变得具有现实意义。本文从应用的角度出发，介绍了数据挖掘方面的相关概念，通过对时间序列数据的分析和处理，设计实现了一个以预测股票成交价格为目标的智能化数据挖掘系统。该系统后台使用SQL Server 2005对已有的时序数据进行预处理，然后基于这些数据构建时间序列挖掘模型。前台使用C#语言设计系统操作界面，用户只需要简单的操作就可以查看时间序列挖掘模型，并且使用该模型对股票成交价格进行预测。
本研究为我们提出的通过历史预测未来提供了有利的证据。

关键字：数据挖掘；时间序列分析； Microsoft时序算法；时间序列挖掘模型；
股票成交价格预测；

Answer 1

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;

Answer 2

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;

参考资料：灵格斯翻译的

Answer 3

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;information.nbsp;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;research.nbsp;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;significance.nbsp;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;system.nbsp;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;model.nbsp;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;price.nbsp;Thisnbsp;studynbsp;proposednbsp;thenbsp;adoptionnbsp;ofnbsp;ournbsp;historynbsp;tonbsp;predictnbsp;thenbsp;futurenbsp;providenbsp;anbsp;favourablenbsp;environmentnbsp;fornbsp;evidence.nbsp;Keyword:nbsp;datanbsp;mining,nbsp;timenbsp;seriesnbsp;analysis;nbsp;Microsoftnbsp;timingnbsp;algorithm;nbsp;timenbsp;seriesnbsp;miningnbsp;model;nbsp;Stocknbsp;pricesnbsp;werenbsp;forecast;