• You can use the results from the processing as input to the mining model.

    您可以使用处理的结果作为挖掘模型的输入。

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  • It's much easier to run the data mining model than to load the data into it.

    运行数据挖掘模型要比将数据载入模型简单得多。

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  • Select the mining model and click on the green arrow in the toolbar to run the model.

    选择挖掘模型,点击工具栏上的绿色箭头运行模型。

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  • To create the mining model that predicts disease risks for patients, follow these steps.

    为了创建用于预测病人患病风险的挖掘模型,可遵循以下步骤。

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  • Mining is invoked by a stored procedure call and creates an XML mining model in the database.

    可以通过一个存储过程调用来调用数据挖掘,数据挖掘将在数据库中创建一个XML 挖掘模型。

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  • A feature mining model was set up for rotating machine fault diagnosis, based on data mining.

    在研究数据挖掘技术的基础上,建立了旋转机械故障诊断的特征挖掘模型。

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  • The resulting XML data mining model is stored in the database and can be accessed through SQL/XQuery.

    这样得到的XML数据挖掘模型存储在数据库中,可以通过 SQL/XQuery进行访问。

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  • Every time you run a mining model, take a moment to open it up and give a new name for the result set.

    当您每次运行挖掘模型时,花一点时间来打开结果集并给它起一个新名字。

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  • To create the association rule mining model and extract the rules to a database table, do the following

    要创建关联规则挖掘模型并将这些规则提取到数据库表,可以执行如下操作

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  • The link cannot be made because it is not compatible with the current use of some tables in the mining model.

    无法进行链接,因为该链接与挖掘模型中某些表的当前用途不兼容。

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  • A mining model describes the data that you will use, as well as other input parameters necessary for the model to run.

    挖掘模型描述了您将使用的数据,还有其他为运行模型所必需的输入参数。

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  • The following notes describe some possible variations to the mining model you created using the steps in this tutorial.

    下面的注意事项描述了您使用本指南中的步骤创建的模型的一些可能的变化。

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  • The extension data mining model, which is given in this article, is favorable to using existing data for making decision.

    提出的可拓数据挖掘模式,有利于利用现存数据更好地为决策服务。

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  • We will add input parameters to the stored procedure that can later be set in the Cognos Report and will parametrize the created mining model.

    我们会将输入参数添加到这个存储过程以便之后在Cognos Report内设置,我们还要参数化所创建的这个挖掘模型。

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  • Based on the characteristics of coal preparation plant, horizontal data mining model and vertical data mining model were built in this paper.

    针对选煤厂的特点,建立了水平式数据挖掘模型和垂直式数据挖掘模型。

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  • However, there are some problems in mining model, including unreasonable support definition and subjectively determining membership function.

    但仍存在支持度定义不合理、主观地确定隶属函数等问题。

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  • This causes the stored procedure to execute once the report is run and then you can use it to extract information from an existing PMML mining model.

    这样做会使存储过程在报告运行时就能执行,而后,您就能使用它来从已有的PMML挖掘模型提取信息。

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  • The previous article of this series described how to first build a mining model in InfoSphere Warehouse and then to publish the results using Cognos.

    在本系列的前一篇文章中,介绍了如何先在InfoSphereWarehouse构建一个挖掘模型,然后再使用Cognos公布结果。

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  • Tab to test the predictive accuracy of a single mining model, or to compare the effectiveness of multiple mining models contained within a mining structure.

    选项卡测试单个挖掘模型的预测准确性,或比较挖掘结构中包含的多个挖掘模型的效率。

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  • New data mining algorithms can easily be integrated into this platform if they comply with the data model interface and mining model interface of this platform.

    只要遵循该平台的数据模型接口和挖掘模型接口,新的数据挖掘算法可以很容易地集成到该平台中去。

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  • Design mode includes a graphical design surface used for selecting a single data mining model and input table, and a grid used for specifying the prediction query.

    设计模式包含用于选择单个数据挖掘模型和输入表的图形设计图面,同时还包含用于指定预测查询的网格。

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  • In order to implement the on-line analytical mining model, the on-line analytical processing and the active incremental mining need to be implemented in the database.

    在数据库中实现联机分析挖掘模型需要实现联机分析处理和主动增量挖掘。

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  • AlphaMiner is an open source data mining platform that offers versatile data mining model building and data cleansing features with an user friendly workflow interface.

    是个开源的数据挖掘平台,通过一个用户友好的工作流接口提供通用数据挖掘模型的构建和数据清洗功能。

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  • After the online analytical mining model is studied, an online cube gradient mining tool DM_MCGOBC is designed based on the online analytical processing server DM_OLAP.

    在研究了联机分析处理与数据挖掘集成的联机分析挖掘系统基础上,设计了基于达梦联机分析处理服务器的数据立方梯度联机挖掘工具DM_MCGOBC。

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  • Finally, this article discussed the first data-mining model, the regression model (specifically, the linear regression multi-variable model), and showed how to use it in WEKA.

    最后,本文探讨了第一个数据挖掘模型:回归模型(特别是线性回归多变量模型),另外还展示了如何在WEKA中使用它。

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  • The new data has no classification (in this case, no checks on heart disease have been made) and the scoring process assigns a prediction to each new record according to the mining model.

    新的数据没有分类别(这里是指还没有做过心脏病检查),评价过程根据挖掘模型将一个预测赋给每个新的记录。

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  • The DM and OLAP are the critical techniques of data analysis, the multi dimensional data mining model combining both techniques can enhance the performance and effects of data analysis.

    DM技术与OLAP技术是电力营销决策支持系统中的关键数据分析技术,二者有机结合构成的多维数据挖掘模型能提高数据分析的效果和性能。

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  • This article introduces grey theory into logistics trade, and builds data mining model based on grey theory to solve the practical problem in logistics enterprises' management and decision.

    本文提出灰色系统的理论与方法在物流行业的应用,针对物流企业管理决策的实际问题建立基于灰色系统理论的数据挖掘模型。

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  • The application of grey data mining model in the management and decision of logistics enterprises has proved that the grey forecasting model and clustering model is effective and of practical value.

    灰色数据挖掘模型在物流企业的管理决策问题中的应用证明了基于灰色系统理论的灰色预测和聚类模型是有效的、具有实用价值的数据挖掘模型。

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  • The application of grey data mining model in the management and decision of logistics enterprises has proved that the grey forecasting model and clustering model is effective and of practical value.

    灰色数据挖掘模型在物流企业的管理决策问题中的应用证明了基于灰色系统理论的灰色预测和聚类模型是有效的、具有实用价值的数据挖掘模型。

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