Antonovich Seeking Data Mining Procedures To Combat Fraud
LA County Board agrees to protect public assistance funds.
To curb welfare fraud, the Los Angeles County Board of
Supervisors unanimously approved a motion by Supervisor Michael Antonovich to develop
"data mining" technology in the Department of Public and Social Services data
Data mining technology extracts hidden patterns from data to
identify wasteful duplication and fraud.
It can predict fraud based on the characteristics and circumstances
known to be associated with fraudulent activity, such as relationships among
parties participating in suspicious activities, unusually large distances
between work and home addresses, and inconsistencies in the information
reported to eligibility workers.
"In a recent successful pilot program I initiated utilizing
this technology, we achieved an 85% success rate in detecting fraud rings,"
said Antonovich. "This technology will save
tax dollars and improve the District Attorney's fraud investigations."
This program will target fraud in services including
welfare, healthcare, in home support services and food stamps.