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运用数据挖掘
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  applying data mining
     This paper elaborates the whole process of applying Data Mining technology into the system of guarding against power theft using Analysis Services, which is a kind of Data Mining implement of Microsoft.
     最后应用Microsoft的Analysis Services的数据挖掘工具结合实例探讨了在反窃电系统中运用数据挖掘技术的过程以及应该注意的问题。
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     The Web Mining modularization embedded the campus net study system,The user`s browsing behavior can be discovered by applying data mining technology on web data such as server logs,Provide service of individuation.
     在校园网学习系统中嵌入Web挖掘模块 ,运用数据挖掘技术对服务器上的日志文件等Web数据进行挖掘 ,可了解用户的访问行为 ,提供个性化的服务。
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     Discovering hidden characters, trend and relation from a lot of information existed in supply chain products by applying data mining, which may help supply chain enterprises obtain knowledge to improve the quality of decision-making.
     运用数据挖掘方法从供应链产品的海量数据中发现隐藏的形式、趋势和关系,有助于供应链企业利用获得的知识提高供应链管理的决策质量。
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     Establishing Winters, ARIMA and feed - forward nerual network hourly traffic volumes forecasting model for freeway off- ramp by applying data mining tim series technology, namely exponential smoothing, ARIMA and feed ? forward neural network method.
     设计6种高速公路出口匝道的固定型交通检测器配置密度方案作为实例研究对象,运用数据挖掘技术的时间序列指数平滑方法、ARIMA方法和神经网络方法分别建立高速公路出口匝道小时交通量Winters预测模型、ARI-MA预测模型及神经网络预测模型。
     Six projects for freeway off-ramp of fixed traffic detector deployment are designed. Winters,ARIMA and feed-forward neural network hourly traffic volumes forecasting model for freeway off-ramp are established by applying data mining time series technology,namely exponential smoothing,ARIMA and feed-forward neural network method.
     设计6种高速公路出口匝道的固定型交通检测器配置密度方案作为实例研究对象,运用数据挖掘技术的时间序列指数平滑方法、AR IM A方法和神经网络方法分别建立高速公路出口匝道小时交通量W in ters预测模型、AR IM A预测模型及神经网络预测模型。
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  the data excavating
     The data excavating technology can be used for predicting the efficiency of oil well sidetracking, and assisting the determination of a proper sidetracking well locating, thus provides a scientific and reliable basis for sidetracking the abandoned well.
     运用数据挖掘技术对油井实施开窗侧钻效果进行预测,以辅助侧钻井井位优选决策,为科学、客观地进行报废井侧钻提供依据,从而达到油田高效挖潜目的。
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  “运用数据挖掘”译为未确定词的双语例句
     And it comprehensively uses data mining method, customer research theories and real estate industry background knowledge, establishing housing product's customers' satisfaction evaluation guideline and idiographic flow.
     本文将数据挖掘技术引入住房消费客户信息的研究中,综合运用数据挖掘的技术手段、客户研究的理论以及房地产行业研究的背景和基础,建立了住房产品顾客满意评价指标体系与具体流程;
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     On the basis, use data miming technology to design an analysis platform for the supplier's behavior of the ERP system, and specified the platform's architecture, function module and the technology that be used.
     在此基础上,设计了一个运用数据挖掘技术开发的对ERP系统中供应商行为进行分析的平台,并且从体系结构、功能模块以及所采用的关键技术等方面详细说明了该平台的设计。
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     Thirdly, it illustrates how to apply the technology of data mining to demand chain management from three aspects, which are customer management, suppliers management and logistics management.
     然后文章主要探讨了需求链管理与数据挖掘技术相结合的应用方法,阐述了在客户管理、供应商管理及物流配送管理中运用数据挖掘技术所能解决的问题。
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     This paper first reviews the latest development of logistics and data digging technology at home and abroad, then lists the benefits data digging brings to logistics information management, and finally expounds the orientations of logistic information management facilitated by data digging in the e -commerce age.
     本文介绍了现代物流和数据挖掘技术的国内外发展状况,提出了将数据挖掘技术应用于物流信息管理中的益处,阐述了电子商务时代运用数据挖掘技术进行现代物流信息管理的方向,重点论述了数据挖掘技术在物流管理中的重要作用,指出数据挖掘为进一步的数据分析和决策支持提供了强有力的技术支撑。
短句来源
     Forecasting Customer Purchase Trend Based on Data Mining Technology——Method and Case Study
     运用数据挖掘技术预测客户购买倾向——方法与实证研究
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  applying data mining
Based on a large amount of history data stored in power plants, a way of operation optimization by applying data mining technique is proposed.
      
Sequential mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of events.
      
Applying Data Mining Techniques in the Development of a Diagnostics Questionnaire for GERD
      
The correct sequence of tasks in the database can be automatically discovered by applying data mining technology to the data of the audit trail written by WFMS.
      
Applying data mining to manufacturing: the nature and implications
      
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The criminal of money laundering is almost by means of financial service. With the development of IT, many new technologies are applied in financial service, such as Internet bank, SWIFT, IC card, electronic cash etc. They convenience the society, but they are also used for money laundering at the same time. We can reduce and prevent the criminal of money laundering by using methods such as following: perfecting the management of banks, enforcing lawmaking, using data mining & artificial intelligence and strengthening...

The criminal of money laundering is almost by means of financial service. With the development of IT, many new technologies are applied in financial service, such as Internet bank, SWIFT, IC card, electronic cash etc. They convenience the society, but they are also used for money laundering at the same time. We can reduce and prevent the criminal of money laundering by using methods such as following: perfecting the management of banks, enforcing lawmaking, using data mining & artificial intelligence and strengthening international cooperation.

洗钱犯罪是以利用金融服务为其核心的。网络银行的出现 ,SWIFT系统、智能卡、电子现金等新技术的应用 ,便利社会的同时 ,也为洗钱犯罪提供了新的手段。完善银行的内部管理机制 ,建立相应的法律制度 ,运用数据挖掘等人工智能技术 ,进一步加强国际协作 ,综合治理 ,才能从根本上减少并预防洗钱犯罪的发生。

In electronic commerce, the user′s browsing behavior can be discovered by applying data mining technology on web data such as server logs. In addition, the site structure, marketing strategies can be modified accroding to the discovered knowledge.

在电子商务中 ,运用数据挖掘技术对服务器上的日志文件等Web数据进行客户访问信息的Web数据挖掘 ,了解客户的访问行为 ,从而调整站点结构、市场策略等 ,使电子商务活动具有针对性。

The data excavating technology can be used for predicting the efficiency of oil well sidetracking, and assisting the determination of a proper sidetracking well locating, thus provides a scientific and reliable basis for sidetracking the abandoned well. The related theories and calculating methods are presented, and the data from the sidetracked wells is used for training the nerve network. It is used to predict the sidetracking of five wells, and the results are identical with the and field operations. This...

The data excavating technology can be used for predicting the efficiency of oil well sidetracking, and assisting the determination of a proper sidetracking well locating, thus provides a scientific and reliable basis for sidetracking the abandoned well. The related theories and calculating methods are presented, and the data from the sidetracked wells is used for training the nerve network. It is used to predict the sidetracking of five wells, and the results are identical with the and field operations. This technology proves to be a novel, simple and accurate method.

运用数据挖掘技术对油井实施开窗侧钻效果进行预测,以辅助侧钻井井位优选决策,为科学、客观地进行报废井侧钻提供依据,从而达到油田高效挖潜目的。介绍了数据挖掘技术的有关理论及算法,选取已实施侧钻的油井相关数据作为数据源训练神经网络。同时,预测了5口井的侧钻效果,经现场实施后,预测和实际效果基本吻合。通过实例及其结果的分析,证实了该方法新颖、简便、费用低、准确度高,易于推广。

 
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