Rebecca I Snow

US Patent:

20210097605, Apr 1, 2021

Filed:

Mar 24, 2016

Appl. No.:

15/080093

Inventors:

- Charlotte NC, US
Fordjour Y. Kyei - Eden Prairie MN, US
Kevin Hale - Dublin OH, US
Pamela Niska - Edina MN, US
Dave A. Hall - Gilbert AZ, US
Rebecca Snow - Minnetonka MN, US

International Classification:

G06Q 40/02
G06F 17/30

Abstract:

Systems and methods that facilitate determining and predicting fraudulent or non-compliant behavior using poly-structured data analytics are discussed. An unstructured data steam comprising a set of emails can be received, and processed to reduce the noise, or non-relevant portions of the dataset. Structured data that includes contextual relevant information about the users can also be received, and the poly-structured data modeling system can identify unstructured variable and structured variables that are relevant for identifying and predicting non-compliant behavior. These unstructured and structured variables can then be modeled in order to identify communications that may contain non-compliant and/or fraudulent behavior.