--- title: "Processing the Sequence Clustering Model | Microsoft Docs" ms.custom: "" ms.date: "06/13/2017" ms.prod: "sql-server-2014" ms.reviewer: "" ms.technology: analysis-services ms.topic: conceptual ms.assetid: 4a7545fd-37a3-4766-ad59-0946f1bd3524 author: minewiskan ms.author: owend manager: kfile --- # Processing the Sequence Clustering Model After you create a new mining structure, you must deploy the changes that you made to the data mining solution, and then process the structure. After processing of both the new structure and the mining model is complete, you can browse the mining model. Processing is always required when you create a new data mining structure. However, if you add a new mining model to an existing structure, you can process just the mining model. In this scenario, because you have created a new mining structure and a new mining model, you must process both. ### To process the mining structure and model 1. On the **Mining Model** menu of [!INCLUDE[ssBIDevStudioFull](../includes/ssbidevstudiofull-md.md)], select **Process Mining Structure and All Models**. 2. At the warning asking whether you want to build and deploy the project, click **Yes**. 3. In the **Process Mining Structure - Sequence Clustering with Region** dialog box, click **Run**. The **Process Progress** dialog box opens to display information about model processing. Processing of the new structure and model might take some time. 4. After processing is complete, click **Close** to exit the **Process Progress** dialog box. 5. Click **Close** again to exit the **Process Mining Structure - Sequence Clustering with Region** dialog box. ## Next Task in Lesson [Exploring the Sequence Clustering Model (Intermediate Data Mining Tutorial)](../../2014/tutorials/exploring-the-sequence-clustering-model-intermediate-data-mining-tutorial.md) ## See Also [Data Mining Designer](../../2014/analysis-services/data-mining/data-mining-designer.md) [Microsoft Sequence Clustering Algorithm](../../2014/analysis-services/data-mining/microsoft-sequence-clustering-algorithm.md) [Processing Requirements and Considerations (Data Mining)](../../2014/analysis-services/data-mining/processing-requirements-and-considerations-data-mining.md)