Oracle Data Mining

 Oracle Data Mining

Oracle Data Mining is a feature in Oracle Database that provides advanced data mining and predictive analytics capabilities. Oracle Data Mining allows you to analyze large datasets and extract valuable insights and patterns.

Here is an example of using Oracle Data Mining to create a predictive model:

CREATE MODEL my_model

USING (

   SELECT my_feature_column, my_target_column

   FROM my_table

   WHERE my_target_column IS NOT NULL

)

TARGET my_target_column

SETTINGS (

   algorithm => 'ALGO_NAME',

   build_data_sampling => 'RANDOM',

   build_data_sampling_percent => 80,

   normalize => TRUE

);

This example creates a predictive model named "my_model" using the "ALGO_NAME" algorithm. The model is trained using the "my_feature_column" and "my_target_column" columns of the "my_table" table. The model is configured to use random sampling and 80% of the data for training. The model is also normalized to ensure that all features are on the same scale. Once the model is created, you can use it to make predictions:

SELECT PREDICT(my_model USING my_test_data) FROM DUAL;

This statement uses the "my_model" model to make predictions on the "my_test_data" dataset. The result is a set of predicted target values based on the features in the dataset.