- Patent Title: Self learning machine learning transaction scores adjustment via normalization thereof accounting for underlying transaction score bases relating to an occurrence of fraud in a transaction
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Application No.: US18074815Application Date: 2022-12-05
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Publication No.: US11694208B2Publication Date: 2023-07-04
- Inventor: Pablo Ysrrael Abreu , Omar Gutierrez , Ali Haddad , Stanislav Palatnik , Lukas Dylan Osborne
- Applicant: Socure, Inc.
- Applicant Address: US NY New York
- Assignee: Socure, Inc.
- Current Assignee: Socure, Inc.
- Current Assignee Address: US NV Incline Village
- Agency: Potomac Law Group, PLLC
- Agent Charles B. Lobsenz; Brian H. Buck
- Main IPC: G06Q20/40
- IPC: G06Q20/40
Abstract:
Provided are a system and methodology for iteratively measuring data, as between multiple sets thereof, that accounts for underlying data generation sources and bases. Doing so, via normalization of the data, enables uniformity of interpretation and presentation of the data no matter the machine learning model that produced the data.
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