I am compiling a list of leading data providers. This is the current list. If your favorite data providers are not included here and you feel they should be, please contact me at firstname.lastname@example.org. Thanks. Dr. Zhou.
Monday, August 27, 2012
Predictive model scoring in Oracle
As described in an earlier post, "Build Predictive Models Using PL/SQL", we can build models within Oracle using function
DBMS_DATA_MINING.CREATE_MODEL. The models are called mining objects.
The ultimate purpose of building a predictive mode is to apply it to new data. This can be done using SQL function prediction_probability().
We call this function in our SQL scripts. It will return the probability of being fraud, delinquency, clicking an online ads, or whatever the model is predicting.
select ACCOUNT_NUM, Transaction_ID, prediction_probability(fraud_model, 1 using *) score from tbl_transaction_data;
This is probably the most efficient way to deploy a model into production. (Model deployment is traditionally a major headache.) Again, data never leave the database and no standalone analytics server is needed.