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的数据挖掘查询
The '{0}' mining model has been deleted and the data mining query you have built is no longer valid. Select a different mining model for the query.
"{0}"挖掘模型已删除,您所生成的数据挖掘查询不再有效。 请为该查询另外选择一个挖掘模型。
The data mining query that has built will be lost. Do you wish to continue?
已生成的数据挖掘查询将丢失。 是否继续?
When you create a prediction query by using the Data Mining Query Advanced Editor, which is available in the Data Mining Client for Excel, you can specify data from an external source to feed to the data mining model for creating predictions.
When you create a prediction query by using the Data Mining Query Advanced Editor of the Data Mining Client for Excel, you can provide the data from which to make predictions in one of two ways: you can specify data in a range or Excel table, or you can enter the values manually and make predictions one by one.
You have changed the data mining query manually. Switching to design view will lose your changes. Do you wish to continue?
您已手动更改了该数据挖掘查询。如果切换到设计视图,将丢失所做的更改。 是否继续?
The Data Mining Query builder control cannot be initialized due to the following problem: {0}
由于以下问题,无法初始化数据挖掘查询生成器控件: {0}
The data mining query result cannot be saved.
无法保存数据挖掘查询结果。
The data mining query statement is required.
需要数据挖掘查询语句。
You can use the Data Mining Query Task to extract and modify data to a preferred format.
您可以使用数据挖掘查询任务提取数据并将数据修改为您偏爱的格式。
Because the Data Mining Query Advanced Editor does not allow you to make changes in the definition of the model or structure, you will have to create a new model or structure from the beginning.
因为数据挖掘查询高级编辑器不允许对模型或结构的定义进行更改,所以您必须从头开始创建新的模型或结构。
If you know the model you want and are familiar with data mining, you can also click Advanced to open the Data Mining Query Advanced Editor.
如果您知道需要的模型并且熟悉数据挖掘,还可以单击"高级"打开"数据挖掘查询高级编辑器"。
When you are using the Data Mining Client for Excel, you have the option to create your own data mining structures and models, or to fine-tune the parameters of the algorithms, by using the Data Mining Query wizard.
By using the Data Mining Query Advanced Editor, you can create complex Data Mining Extensions (DMX) statements on the fly by the clicking the highlighted links and selecting objects and values from custom dialog boxes.
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