The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 04, 2025

Filed:

Jun. 25, 2024
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Vincent Pham, Champaign, IL (US);

Austin Walters, Savoy, IL (US);

Fardin Abdi Taghi Abad, Champaign, IL (US);

Kenneth Taylor, Champaign, IL (US);

Reza Farivar, Champaign, IL (US);

Anh Troung, Champaign, IL (US);

Jeremy Goodsitt, Champaign, IL (US);

Assignee:

CAPITAL ONE SERVICES, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 16/11 (2019.01); G06F 16/28 (2019.01); G06F 18/24 (2023.01); G06F 21/62 (2013.01); G06N 5/025 (2023.01);
U.S. Cl.
CPC ...
G06F 16/285 (2019.01); G06F 16/122 (2019.01); G06F 18/24765 (2023.01); G06F 21/6245 (2013.01); G06N 5/025 (2013.01);
Abstract

An exemplary system, method, and computer-accessible medium can include, for example, establishing a unique rule-identifier in one-to-one correspondence with at least one set of unknown time-variable rules against which data is to be made compliant, obtaining at least one set of data marked compliant against the one or more set of rules, obtaining meta-data from the compliant data, obtaining at least one set of data marked non-compliant against the set of unknown time-variable rules, extracting meta-data from the non-compliant data, joining the set of compliant and non-compliant metadata to generate a set of estimated rules corresponding to the rule-identifier based at least one of (i) the meta-data of the joined set and (ii) machine learning algorithms.


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