天津灰指甲哪家强？认准津门皮肤病医院，不再烦恼！
灰指甲（甲真菌病）是一种常见的指甲感染疾病，由真菌侵入甲板引起。它不仅影响美观，还可能引发疼痛、异味，甚至传染给他人。对于天津的患者来说，选择一家专科、正规的医院治疗是关键。本文将详细介绍灰指甲的知识、治疗方法、医院推荐及就医指南，帮助您科学应对灰指甲问题。
**灰指甲的常见症状**
灰指甲的主要表现包括：
- 指甲变厚、变脆、分层
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title: "Create a Data Mining Dimension | Microsoft Docs"
ms.custom: ""
ms.date: "06/13/2017"
ms.prod: "sql-server-2014"
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ms.suite: ""
ms.technology:
- "analysis-services"
ms.tgt_pltfrm: ""
ms.topic: "conceptual"
helpviewer_keywords:
- "data mining [Analysis Services], dimensions"
- "dimensions [Analysis Services], data mining"
- "data mining [Analysis Services], building"
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---
Create a Data Mining Dimension
If your mining model is built from an OLAP cube dimension—that is, if the mining model uses a cube as the data source—you can create a dimension that contains the content of the mining model. Then you can process the dimension and use it in your cube.
You can also browse the mining dimension in a cube browser, or use it to provide drillthrough from a mining model to the dimension data.
To create a data mining dimension
1. In SQL Server Data Tools, in Solution Explorer, expand **Mining Structures** to locate the data mining dimension that you want to create.
2. Right-click the mining structure and then select **Generate Data Mining Dimension**.
> [!NOTE]
> The **Generate Data Mining Dimension** option is not enabled if the mining structure was not built from an OLAP data source.
3. In the **Generate Data Mining Dimension** dialog box, specify the name of the new data mining dimension and the name of the cube to which the dimension will be added. Click **OK**.
4. Right-click the mining dimension, select **Process Dimension**, and verify that the new dimension is processed. You must also process the cube.
To browse a data mining dimension or related cube
1. In SQL Server Data Tools, in Solution Explorer, select the cube that contains the data mining dimension.
2. Right-click the cube, and select **Browse** to open the cube browser and explore the relationships of the dimension to measure groups in the cube.
3. In SQL Server Data Tools, in Solution Explorer, expand **Dimensions**.
4. Right-click the data mining dimension, and select **Browse** to explore the data in the dimension.
See Also
[Mining Structures & 40;Analysis Services - Data Mining& 41;](data-mining/mining-structures-analysis-services-data-mining.md)
