Data mining leads to 74 arrests
- Published: 10/08/2007
Data mining techniques used to identify insurance fraud networks has resulted in 74 arrests and a five-to-one return on investment for the Insurance Fraud Bureau (IFB), it has been claimed.
Speaking to Computer Weekly, the IFB's deputy chairman Richard Davies said that these results had "exceeded all expectations".
The IFB uses specialist IT company Detica for its data mining programme. Detica's NetReveal software puts huge amounts of data through its social network analysis so that it can identify networks of potential fraudsters.
Claims are uploaded to Detica from the IFB. Data from the claims is then used to identify relationships and "their relative strength between claimants", Computer Weekly reports.
None of the 74 individuals arrested have yet been prosecuted as the Crown Prosecution Service is still preparing the cases. But police have been able to seize goods worth £5.5 million under the Proceeds of Crime Act, however.
Speaking to Computer Weekly, the IFB's deputy chairman Richard Davies said that these results had "exceeded all expectations".
The IFB uses specialist IT company Detica for its data mining programme. Detica's NetReveal software puts huge amounts of data through its social network analysis so that it can identify networks of potential fraudsters.
Claims are uploaded to Detica from the IFB. Data from the claims is then used to identify relationships and "their relative strength between claimants", Computer Weekly reports.
None of the 74 individuals arrested have yet been prosecuted as the Crown Prosecution Service is still preparing the cases. But police have been able to seize goods worth £5.5 million under the Proceeds of Crime Act, however.