| 1. | The wizard then adds the nested table to the case table
最后，向导将嵌套表添加到事例表中。 |
| 2. | Selecting a case table and , optionally , any nested tables
选择事例表，以及任意嵌套表（可选） 。 |
| 3. | Select case table
“选择事例表” |
| 4. | The case table includes the training data that you will use to train the mining model
事例表包括要用来为挖掘模型定型的定型数据。 |
| 5. | You can also specify tables to nest within the case table , if your data is contained in multiple tables
如果数据包含在多个表中，则还可以指定要在事例表中嵌套的表。 |
| 6. | Note : in this case tables t1 and t2 are joined without any condition , so every row in t1 matches every row in t2
注意：本例中，表t1和t2的连接是不含任何条件的，因此， t1中的每一行会匹配t2中的每一行。 |
| 7. | If the source data is contained within multiple tables , you can feed it into the wizard as a single case table by using nested tables
如果源数据包含在多个表中，则可使用嵌套表将其作为单个事例表馈送到向导中。 |
| 8. | The next steps in the wizard are to select the specific data source view that you want to use to define the mining structure , and to specify a case table
向导中的下一个步骤是选择想用于定义挖掘模型的特定数据源视图，并指定事例表。 |
| 9. | The customer id uniquely identifies the customer and also relates the case table to the nested tables , therefore you would use it as the key column
客户id可以唯一地标识客户，并且使事例表与嵌套表相关，因此，一般会将客户id作为键列。 |
| 10. | After you specify the case table and the nested tables , you determine the usage type for each column in the tables that you will include in the mining structure
指定了事例表和嵌套表后，可以确定要包括在挖掘结构中的表的每一列的使用类型。 |
