Fraud and Anomaly Detection Made Simple - Oracle Data Mining (ODM) Blog
Fraud and Anomaly Detection Made Simple - Oracle Data Mining (ODM) Blog
Fraud and Anomaly Detection Made Simple - Oracle Data Mining (ODM) Blog
First, we instantiate the ODM settings table to override the defaults. The
https://blogs.oracle.com/datamining/fraud-and-anomaly-detection-made-simple 1/4
29/7/2019 Fraud and Anomaly Detection Made Simple | Oracle Data Mining (ODM) Blog
default value for Classification data mining function is to use our Naive
Bayes algorithm, but since this is a different problem, looking for
anomalous records amongst a larger data population, we want to change
that to SUPPORT_VECTOR_MACHINES. Also, as the 1-Class SVM
does not rely on a Target field, we have to change that parameter to
"null". See
http://download.oracle.com/docs/cd/B28359_01/datamine.111/b28129/anomalies.htm
for detailed Documentation on ODM's anomaly detection.
exec dbms_data_mining.drop_model('CLAIMSMODEL');
commit;
begin
dbms_data_mining.create_model('CLAIMSMODEL',
'CLASSIFICATION',
end;
/
https://blogs.oracle.com/datamining/fraud-and-anomaly-detection-made-simple 2/4
29/7/2019 Fraud and Anomaly Detection Made Simple | Oracle Data Mining (ODM) Blog
After that, we can use the CLAIMS data mining model to "score" all customer
auto insurance policies, sort them by our prediction_probability and select the
top 5 most unusual claims.
select * from
from CLAIMS
Leave these results inside the database and you can create powerful
dashboards using Oracle Business Intelligence EE (or any reporting or
dashboard tool that can query the Oracle Database) that multiple ODM's
probability of the record being anomalous times (x) the dollar amount of the
claim, and then use stoplight color coding (red, orange, yellow) to flag only
the more suspicious claims. Very automated, very easy, and all inside the
Oracle Database!
Comments ( 5 )
https://blogs.oracle.com/datamining/fraud-and-anomaly-detection-made-simple 3/4
29/7/2019 Fraud and Anomaly Detection Made Simple | Oracle Data Mining (ODM) Blog
Recent Content
DATA MINING (O
Oracle Data Miner UI Join us at the Analytics and Oracle's Machin
Data Summit, March 12-14, presentations a
2019 at Oracle HQ - All Open World & C
Analytics, All Data, No 2018
Nonsense!
There were ma
Hope you and your talks again at O
colleagues can join us at Open World &
the upcoming Ana... 2018! See the
Site Map Legal Notices Terms of Use Privacy Preferencias para cookies Ad Choices
https://blogs.oracle.com/datamining/fraud-and-anomaly-detection-made-simple 4/4