Capital one services, llc (20240346048). SYSTEM, METHOD, AND COMPUTER-ACCESSIBLE MEDIUM TO VERIFY DATA COMPLIANCE BY ITERATIVE LEARNING simplified abstract

SYSTEM, METHOD, AND COMPUTER-ACCESSIBLE MEDIUM TO VERIFY DATA COMPLIANCE BY ITERATIVE LEARNING

Organization Name

capital one services, llc

Inventor(s)

Vincent Pham of Champaign IL (US)

Austin Walters of Savoy IL (US)

Fardin Abdi Taghi Abad of Champaign IL (US)

Kenneth Taylor of Champaign IL (US)

Reza Farivar of Champaign IL (US)

Anh Troung of Champaign IL (US)

Jeremy Goodsitt of Champaign IL (US)

SYSTEM, METHOD, AND COMPUTER-ACCESSIBLE MEDIUM TO VERIFY DATA COMPLIANCE BY ITERATIVE LEARNING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346048 titled 'SYSTEM, METHOD, AND COMPUTER-ACCESSIBLE MEDIUM TO VERIFY DATA COMPLIANCE BY ITERATIVE LEARNING

The abstract of this patent application describes a system, method, and computer-accessible medium for establishing rules against which data is to be made compliant, extracting metadata from compliant and non-compliant data, and generating estimated rules using machine learning algorithms.

• Simplified Explanation:

This patent application outlines a system that matches data against unknown time-variable rules, extracts metadata, and uses machine learning to generate estimated rules.

• Key Features and Innovation:

- Establishing unique rule-identifiers for unknown time-variable rules - Matching data against these rules to determine compliance - Extracting metadata from compliant and non-compliant data - Generating estimated rules using machine learning algorithms

• Potential Applications:

- Data compliance monitoring - Rule generation for data sets - Automated data validation processes

• Problems Solved:

- Efficient data compliance checking - Automated rule generation - Improved data quality control

• Benefits:

- Time-saving in data compliance processes - Enhanced accuracy in rule generation - Streamlined data validation procedures

• Commercial Applications:

"Automated Data Compliance System for Efficient Rule Generation and Validation"

• Questions about the Technology:

1. How does this system improve data compliance monitoring processes? 2. What are the advantages of using machine learning algorithms for rule generation in this context?

• Frequently Updated Research:

Stay updated on advancements in machine learning algorithms for data validation and compliance monitoring to enhance the efficiency of this system.

Original Abstract Submitted

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.