Self-calibrating outlier model and adaptive cascade model...

Details Self-calibrating outlier model and adaptive cascade model... Self-calibrating outlier model and adaptive cascade model...

2008-08-08

2011-10-18

Jarrett, Scott L (Department: 3624)

Data processing: financial, business practice, management, or co

Automated electrical financial or business practice or...

Operations research or analysis

C705S007110, C705S007390, C705S014470, C726S030000

Reexamination Certificate

active

08041597

ABSTRACT:
A system and method for detecting fraud is presented. A self-calibrating outlier model is hosted by a computing system. The self-calibrating outlier model receives transaction data representing transactions, and is configured to calculate transaction-based variables, profiles and calibration parameters, and to produce a score based on the transaction data according to the transaction-based variables, profiles and calibration parameters. An adaptive cascade model is also hosted by the computing system, and is configured to generate a secondary score for the transaction data based on profile information from the variables and/or profiles calculated by the self-calibrating outlier model, and based on a comparison with labeled transactions from a human analyst of historical transaction data.

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