Skip Headers
Oracle® Database SQL Language Reference
11g Release 1 (11.1)

Part Number B28286-01
Go to Documentation Home
Home
Go to Book List
Book List
Go to Table of Contents
Contents
Go to Index
Index
Go to Master Index
Master Index
Go to Feedback page
Contact Us

Go to previous page
Previous
Go to next page
Next
View PDF

FEATURE_VALUE

Syntax

Description of feature_value.gif follows
Description of the illustration feature_value.gif

mining_attribute_clause:=

Description of mining_attribute_clause.gif follows
Description of the illustration mining_attribute_clause.gif

Purpose

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 the value of a given feature. If you omit the feature_id argument, then the function returns the highest feature value. You can use this form in conjunction with the FEATURE_ID function to obtain the largest feature/value combination.

The mining_attribute_clause behaves as described for the PREDICTION function. Refer to mining_attribute_clause.

See Also:

Examples

The following example lists the customers that correspond to feature 3, ordered by match quality.

This example and the prerequisite data mining operations, including the creation of the model and 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 *
  FROM (SELECT cust_id, FEATURE_VALUE(nmf_sh_sample, 3 USING *) match_quality
          FROM nmf_sh_sample_apply_prepared
        ORDER BY match_quality DESC)
 WHERE ROWNUM < 11;

   CUST_ID MATCH_QUALITY
---------- -------------
    100210    19.4101627
    100962    15.2482251
    101151    14.5685197
    101499    14.4186292
    100363    14.4037396
    100372    14.3335148
    100982    14.1716545
    101039    14.1079914
    100759    14.0913761
    100953    14.0799737
 
10 rows selected.