View source for 18520233. COMPUTER-BASED SYSTEMS CONFIGURED FOR IDENTIFYING RESTRICTED REVERSALS OF OPERATIONS IN DATA ENTRY AND METHODS OF USE THEREOF simplified abstract (Capital One Services, LLC)

=COMPUTER-BASED SYSTEMS CONFIGURED FOR IDENTIFYING RESTRICTED REVERSALS OF OPERATIONS IN DATA ENTRY AND METHODS OF USE THEREOF=


==Organization Name==

[[:Category:Capital One Services, LLC|Capital One Services, LLC]]


[[Category:Capital One Services, LLC]]

==Inventor(s)==

[[:Category:Abdelkader M'Hamed Benkreira of Brooklyn NY (US)|Abdelkader M'Hamed Benkreira of Brooklyn NY (US)]][[Category:Abdelkader M'Hamed Benkreira of Brooklyn NY (US)]]

[[:Category:Michael Mossoba of Great Falls VA (US)|Michael Mossoba of Great Falls VA (US)]][[Category:Michael Mossoba of Great Falls VA (US)]]

[[:Category:Joshua Edwards of Philadelphia PA (US)|Joshua Edwards of Philadelphia PA (US)]][[Category:Joshua Edwards of Philadelphia PA (US)]]

==COMPUTER-BASED SYSTEMS CONFIGURED FOR IDENTIFYING RESTRICTED REVERSALS OF OPERATIONS IN DATA ENTRY AND METHODS OF USE THEREOF - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18520233 titled 'COMPUTER-BASED SYSTEMS CONFIGURED FOR IDENTIFYING RESTRICTED REVERSALS OF OPERATIONS IN DATA ENTRY AND METHODS OF USE THEREOF

==Simplified Explanation==

The present disclosure describes systems and methods for automated identification of restrictions on reversals of data entries based on location data and data profile classification. Here are some key points from the abstract:

* Receive location data from a user's computing device
* Utilize a data profile classification machine learning model to classify a data profile
* Determine a reversal rate of data entries in the history of the data profile
* Determine an electronic activity reversal restriction if the reversal rate is below a predetermined value
* Present a pop-up notification to the user on the computing device regarding the electronic activity reversal restriction

== Potential Applications ==
This technology could be applied in financial transactions, online shopping, and data security systems.

== Problems Solved ==
This technology helps prevent unauthorized reversals of data entries and enhances data security for users.

== Benefits ==
The system provides automated identification of potential risks and restrictions, improving user awareness and security.

== Potential Commercial Applications ==
This technology could be valuable for banks, e-commerce platforms, and any organization dealing with sensitive data.

== Possible Prior Art ==
One possible prior art could be systems that use location data for user authentication and security purposes.

=== Unanswered Questions ===

=== How does the system ensure the accuracy of location data received from the user's computing device? ===
The system must have mechanisms in place to verify the authenticity and accuracy of the location data to make informed decisions about data entry reversals.

=== What measures are taken to protect user privacy and data security while utilizing the data profile classification machine learning model? ===
It is essential to address concerns regarding data privacy and security when implementing machine learning models that analyze user data for classification purposes.


==Original Abstract Submitted==

Systems and methods of the present disclosure enable automated identification of restrictions on reversals of data entries by receiving location data from a computing device associated with a user, and utilizing a data profile classification machine learning model to classify a particular data profile according to a data profile classification type based at least in part on a history of data entries associated with the particular data profile when the physical location is within a predetermined proximity of another physical location associated with the particular data profile. A reversal rate of data entries in the history of data entries is determined for the particular data profile. An electronic activity reversal restriction is determined where the reversal rate is below a predetermined value, and a pop-up notification is presented on the computing device notifying the user of the electronic activity reversal restriction of the particular data profile.



[[Category:G06Q30/0282]]
[[Category:G06F18/214]]
[[Category:G06N20/00]]
[[Category:H04L67/50]]