Data mining extensions is the language used to create and work with data mining models in ssas 数据挖掘扩展插件( dmx )语言用于在ssas中创建和处理数据挖掘模型。
You can use data mining extensions statements to perform each of these tasks programmatically 可以使用数据挖掘扩展插件( dmx )语句，以编程方式执行上述每个任务。
Tab includes prediction query builder , which you can use to create a data mining extensions prediction query 选项卡包含预测查询生成器，可以使用此生成器创建数据挖掘扩展插件( dmx )预测查询。
You can use management studio to create data mining extensions prediction queries with prediction query builder 可以使用management studio通过预测查询生成器创建数据挖掘扩展插件( dmx )预测查询。
The following table lists the statements that are part of the data mining data definition language in data mining extensions 下表列出了数据挖掘扩展插件( dmx )中属于数据挖掘数据定义语言( ddl )的语句。
This tutorial demonstrates how to create , and train association mining models by using the data mining extensions query language 本教程演示如何使用数据挖掘扩展插件( dmx )查询语言创建和定型关联的挖掘模型。
Analysis services provides a query language called data mining extensions that is the basis for creating predictions Analysis services提供了一种称为数据挖掘扩展插件( dmx )的查询语言，该语言是创建预测的基础。
The following table lists the statements that are part of the data mining data manipulation language in data mining extensions 下表列出的语句是数据挖掘扩展插件( dmx )中使用的部分数据挖掘数据操作语言( dml )语句。
The data mining extensions language provides statements that you can use to create , train , and use data mining models 数据挖掘扩展插件( dmx )语言提供了一些语句，您可以使用这些语句创建、定型和使用数据挖掘模型。
In this tutorial , you will learn how create , train , and explore mining models by using the data mining extensions query language 在本教程中，您将学习如何使用数据挖掘扩展插件( dmx )查询语言来创建、定型和浏览挖掘模型。
