Method and system for forensic data analysis in fraud detection employing a digital pattern more prevalent than Benford's Law

Abstract

A computerized system for a digital method for the detection of fraud and/or anomalous transactions is disclosed based on a novel statistical interpretation of Benford's Law and a unique set of computer implementations outlining the development of digital distributions from the low-value region on the left of a given data set to the high-value region on the right. A division into sub-intervals of the entire data set along adjacent integral powers of ten suggested in the method provides the unique manner of visualizing and computer output actualization of the gradual evolution of digital distribution from near digital equality on the left to severe inequality on the right. The method provides a venue for detecting fraud committed by the sophisticated cheater well-aware of Benford's Law but inventing data without regards to development. Experimental results consistently demonstrate the effectiveness of the techniques used in embodiments of the invention.

Dependencies are inferred from the claim text.