Edit an Anomaly Detection Query

To edit an Anomaly Detection Query Node, either double-click the node or right-click the node and select Edit. In the Select Columns window, specify the following information on the Anomaly Predictions tab:

1. Double-click the Anomaly Detection Query node or right-click the node and click Edit. The Edit Anomaly Detection Query Node dialog box opens.

2. In the Anomaly Detection Query Node dialog box, enter the details in the following tabs:

   • Anomaly Predictions tab:

     • In the Case ID field, select a case ID from the drop-down list (Optional). It is recommended that you specify a case ID to uniquely define each record. The case ID helps with model repeatability and is consistent with good data mining practices.

     • You can edit the outputs of an Anomaly Prediction (optional). Oracle Data Miner automatically determines the output for the query. You can modify the output.

   • Partition tab: You can perform the following tasks.

     • Add one or more Partition attributes. This is optional. Selecting a Partition attribute directs the predictive query to build a virtual model for each unique partition.

     • Select partitions. To select partitions, click the Partition tab and click . Use the Add Partitioning Columns dialog box to select the partitions. You can also specify partitioning expressions.

   • Input tab: You can perform the following tasks:

     • Modify Input.

     • Add and modify input. Click Input to add and modify input.

     • Remove input.

     • Change the mining type.

   • Additional Output tab: You can add output (optional). By default, all target columns, the Case ID column, and partitioning columns are automatically added to additional output. To make changes, click Additional Output.

3. Click OK.