
This function is for use with feature extraction models that have been created using the DBMS_DATA_MINING package or with the Oracle Data Mining Java API. It returns an Oracle NUMBER that is the identifier of the feature with the highest coefficient value.
The mining_attribute_clause behaves as described for the PREDICTION function. Please refer to mining_attribute_clause.
See Also:
Oracle Data Mining Concepts for detailed information on Oracle Data Mining features
Oracle Data Mining Administrator's Guide for information on the demo programs available in the code
Oracle Data Mining Application Developer's Guide for information on writing Oracle Data Mining applications
The following example lists the features and corresponding count of customers in a dataset.
This example and the prerequisite data mining operations, including creation of the nmf_sh_sample model and nmf_sh_sample_apply_prepared view, can be found in the demo file $ORACLE_HOME/rdbms/demo/dmnmdemo.sql. General information on data mining demo files is available in Oracle Data Mining Administrator's Guide. The example is presented here to illustrate the syntactic use of the function.
SELECT FEATURE_ID(nmf_sh_sample USING *) AS feat, COUNT(*) AS cnt
FROM nmf_sh_sample_apply_prepared
GROUP BY FEATURE_ID(nmf_sh_sample USING *)
ORDER BY cnt DESC;
FEAT CNT
---------- ----------
7 1443
2 49
3 6
1 1
6 1