数据挖掘教程 (Analysis Services)Data Mining Tutorials (Analysis Services)

适用对象:是SQL Server Analysis Services 否Azure Analysis Services 否Power BI PremiumAPPLIES TO: yesSQL Server Analysis Services noAzure Analysis Services noPower BI Premium

MicrosoftMicrosoft SQL ServerSQL Server Analysis ServicesAnalysis Services 使用向导和集成可视化更加方便地创建数据挖掘解决方案。SQL ServerSQL Server Analysis ServicesAnalysis Services makes it easy to create data mining solutions using wizards and integrated visualizations. 特别是如果你刚接触机器学习,则使用 Analysis ServicesAnalysis Services 中的工具是设计、定型和探索数据挖掘模型的轻松方法。Particularly if you are new to machine learning, the tools in Analysis ServicesAnalysis Services are an easy way to design, train, and explore data mining models. 模型中的数据可以存储在多维数据集、关系数据库或 Analysis ServicesAnalysis Services 支持的任何其他源中。The data in your models can be stored in a cube, relational database, or any other source support by Analysis ServicesAnalysis Services. 创建模型之后,可以通过使用多个预测客户端(包括 Integration ServicesIntegration Services 和 ASP.NET)访问模型以创建预测,来将它投入生产。After creating a model, you can put it into production by accessing the model to create predictions using prediction multiple clients, including Integration ServicesIntegration Services and ASP.NET.

备注

此处所述的教程尚未针对 SQL Server 2017SQL Server 2017 进行更新。The tutorials described here have not been updated for SQL Server 2017SQL Server 2017. 可以使用为 SQL Server 2014 创建的教程。You can use the tutorials created for SQL Server 2014. 就功能而言,数据挖掘功能对于 SQL Server 2017SQL Server 2017 没有任何变化。Functionally, there are no changes in Data Mining features for SQL Server 2017SQL Server 2017. 这些步骤应是相同的。The steps should be identical.

教程Tutorials

数据挖掘基础教程 (SQL Server 2014) - 本教程演练了目标邮递方案。Basic Data Mining Tutorial (SQL Server 2014) - This tutorial walks you through a targeted mailing scenario. 本教程演示说明了 Analysis ServicesAnalysis Services 中包含的数据挖掘算法、挖掘模型查看器和数据挖掘工具的使用方法。It demonstrates how to use the data mining algorithms, mining model viewers, and data mining tools that are included in Analysis ServicesAnalysis Services. 在学习数据挖掘概念和工具的同时,您将创建三个数据挖掘模型以解决实际商业问题。You will build three data mining models to answer practical business questions while learning data mining concepts and tools.

数据挖掘中级教程 (SQL Server 2014) - 本教程包含的课程集合介绍更高级的数据挖掘概念和技术,如预测、市场篮分析、神经网络和逻辑回归以及顺序分析和聚类分析。Intermediate Data Mining Tutorial (SQL Server 2014) - This tutorial contains a collection of lessons that introduce more advanced data mining concepts and techniques such as, forecasting, market basket analysis, neural networks and logistic regression, and sequence clustering.

DMX 教程 (SQL Server 2014) - 数据挖掘扩展插件 (DMX) 查询语言的语法与 SQL 的语法类似,但是可以用于创建、查询和管理存储在 Analysis ServicesAnalysis Services 中的预测模型。DMX Tutorials (SQL Server 2014) - The Data Mining Extensions (DMX) query language has syntax like that of SQL but can be used to create, query, and manage predictive models stored in Analysis ServicesAnalysis Services. 这些教程演示如何使用 DMX 语言创建新挖掘结构和挖掘模型,以及如何创建在应用程序中使用的 DMX 预测查询。These tutorials demonstrate how to create a new mining structure and mining models by using the DMX language, and how to create DMX prediction queries for use in applications.

请参阅See Also

数据挖掘解决方案Data Mining Solutions
Microsoft SQL Server 数据挖掘资源Microsoft SQL Server Data Mining resources
创建和查询使用 DMX 数据挖掘模型:教程(Analysis Services-数据挖掘)Creating and Querying Data Mining Models with DMX: Tutorials (Analysis Services - Data Mining)