The Art and Science of Insurance Fraud Detection

Duration: 1 half-day session CEU: 0.3

Presented by Terry Woodfield, Ph.D., statistical services specialist in the Education Division of SAS Institute

Fraud costs the property and casualty insurance industry to lose over 25 billion dollars(USD)annually. This lecture uses text mining and predictive modeling to provide analytic solutions to the insurance fraud problem.

Learn how to

process and prepare insurance data for predictive modeling, including procesing textual data using SAS Text Miner
derive a fraud model using SAS Enterprise Miner
rank insurance claims based on probability of fraud combined with expected loss using a two-stage fraud model.

Who should attend

Insurance industry analysts resposnible for fraud detection

Course Materials

Students attend Live Web classes using a Web browser and a telephone and interact with their instructor and fellow classmates in real time. Each student receives an e-mail with instructions on how to join the class three business days before the class begins. The instructions e-mail includes a link to download the course materials, including the exercise files. Students need to download and print the course materials prior to class.

System Requirements

For Live Web, you must

review and meet the general system requirements.

U.S. Schedule

08OCT2008 Live Web,

Check for additional and updated schedule information online at support.sas.com/courses/lwbatw.html.