Fair Isaac Corporation

Victor Miagkikh

Stuart L Crawford

Sergei Tolmanov

Megan Thorsen

Ashutosh Joshi

Shailesh Kumar

Michael Steele

Helen Geraldine E Rosario

Chris Erickson

Colin Little

Fraud detection is facilitated by developing account cluster membership rules and converting them to database queries via an examination of clusters of linked accounts abstracted from the customer database. The cluster membership rules are based upon certain observed data patterns associated with potentially fraudulent activity. In one embodiment, account clusters are grouped around behavior patterns exhibited by imposters. The system then identifies those clusters exhibiting a high probability of fraud and builds cluster membership rules for identifying subsequent accounts that match those rules. The rules are designed to define the parameters of the identified clusters. When the rules are deployed in a transaction blocking system, when a rule pertaining to an identified fraudulent cluster is triggered, the transaction blocking system blocks the transaction with respect to new users who enter the website.

Systems and methods for fraud detection via interactive link analysis

A product space browser (PSB), which comprises a graphical user interface (GUI) that facilitates insight discovery through exploration and analysis of product space graphs generated by applying a product affinity engine to retailer's transaction data in a market basket context, is disclosed.

Product space browser

Growing community of inventors

San Francisco, CA, United States of America

Victor Miagkikh