FBI Data Mining for More than Terror - See More Slideshows Like This One
FBI Data Mining for More than Terror
by Lisa Vaas
FBI Data Mining for More than Terror - The System-to-Assess Risk (STAR) Initiative
This data-mining initiative isnt operational yet, but it will be designed to help FBI analysts prioritize the risks associated with individuals who have already been identified as persons of interest in connection with a specified terror threat. The init
FBI Data Mining for More than Terror - The Identity Theft Intelligence Initiative
Examines and analyzes consumer complaints about identity theft in order to identify commonalities that may be indicative of major identity theft rings in a given geographic area. And from there we go to health care fraud ...
FBI Data Mining for More than Terror - The Health Care Fraud Initiative
The Health Care Fraud Initiative examines summary health care billing records in government and private insurance claims databases to help the FBI identify anomalies that may be indicative of fraud or over-billing by health care providers.
FBI Data Mining for More than Terror - The Internet Pharmacy Fraud Initiative
The Internet Pharmacy Fraud Initiative examines consumer complaints to the Food and Drug Administration about fraud by Internet pharmacies to develop common threads that may be indicative of larger fraud by such pharmacies. The initiative performs analysi
FBI Data Mining for More than Terror - The Housing Fraud Initiative
The Housing Fraud Initiative examines public source data on real estate transactions to identify potential indications of fraudulent housing purchases. First completed in 1999, this FBI initiative has proven effective at identifying real estate transactio
FBI Data Mining for More than Terror - The Automobile Accident Insurance Fraud Initiative
The Automobile Accident Insurance Fraud Initiative compares information on possible fraudulent insurance claims provided by the National Insurance Crime Bureau against other data to identify the national scope of staged accident frauds; to identify major