Create a Data Mining Run

• Step 1: Select the run type and data configuration
  To create a data mining run, you start by selecting the type of run and the data configuration to use.
• Step 2: (For timestamped data only) Select the as-of date
  If you are working with timestamped data, select the the as-of date; that is, the date and time for your snapshot of the data.
• Step 3: Select the variables
  A variable is a data item in the source data referenced by the configuration that you selected for the data mining run.
• Step 4 for MGPS runs: Specify data mining parameters
  After you have selected item variables for data mining, the Data Mining Parameters page appears.
• Step 4 for logistic regression runs: Select the events and specify drugs
  When defining a logistic regression run, you specify values (that is, responses) for the event variable that you are investigating with the run on the Select Event page. Oracle Empirica Signal computes separate results for each specified event value.
• Step 5: Define data mining run options
  After you specify parameters for a data mining run, the Run Options page appears.
• Step 6: Name the data mining run
  After you define run options you name the data mining run.
• Step 7: Submit the data mining run
  After naming a data mining run that you are creating, you confirm the run parameters and submit the run.
• Reference