Oracle Data Mining and Analytics

Tomorrow, April 25, 2007On April 25, 2007 at 11:45 AM EDT, the Oracle Business Intelligence, Warehouse and Analytics (BIWA) Special Interest Group (SIG) will host the following free webcast:

A Simple Fraud Detection Application using ODM, BIEE, and SQL Developer
Speaker: Bob Haberstroh

Session Abstract
Classification is an often-used methodology in data mining that creates a predictive model distinguishing between (or among) two or more classes of individuals - for example: which of my customers is likely to churn (or not). However, in some cases there is insufficient evidence to profile one of the classes, such as in cases of criminal or fraudulent activity. Oracle Data Mining includes an algorithm for Anomaly Detection that uses the so-called “One Class Classifier” technique to identify rare occurrences of likely abnormal or suspicious activity.

This presentation gives an overview of this functionality and includes a live demonstration of Anomaly Detection using Oracle Data Mining. The methodology of automating the process in an application will also be indicated.

Speaker
Bob Haberstroh is Principal Product Manager for Data Mining Technologies at Oracle. He has many years of experience in statistics, and data mining including more than 12 years in product management positions at Thinking Machines Corporation and Oracle.

Web Conference link
Video link: Click here.

Audio link (USA): 888-967-2253

Meeting Id: 534705#
Passcode: 334451#

Audio will also be streamed on web for overseas users.

If you have problems connecting using the above information check for updated web conference information at the BIWA web page.

BIWA SIG
BIWA SIG is a forum where customers can exchange the latest information on Oracle BI/DW technologies. The BIWA SIG regularly invites speakers to give talks of potential interest to its members. Visit BIWA for more information.

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