Junhui Wang

US Patent:

20220180367, Jun 9, 2022

Filed:

Dec 9, 2020

Appl. No.:

17/115818

Inventors:

- Armonk NY, US
Yi-Hui Ma - Mechanicsburg PA, US
Shuyan Lu - Cary NC, US
Junhui Wang - Cary NC, US
Chuan Ran - Morrisville NC, US

International Classification:

G06Q 20/40
G06Q 20/38
G06N 3/08
G06K 9/62

Abstract:

A system, computer program product, and method are presented for classifying behaviors and predictions through processing temporal financial features with a recurrent neural network (RNN). The method includes receiving, by a RNN model, first financial transaction events. The method also includes classifying non-fraudulent behavioral patterns and potentially fraudulent behavioral patterns resident within the first financial transaction events and training the RNN model therewith. The method further includes receiving, by the RNN model, second financial transaction events over a predetermined period of time. The method also includes normalizing the second financial transaction events, including partitioning the predetermined period of time into a plurality of first equal temporal segments. Some of the plurality of first equal temporal segments are representative of the second financial transaction events residing therein. The method further includes predicting a labeling of the second financial transaction events with a behavior pattern of one of non-fraudulent and potentially fraudulent.