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US Patent 11461793 Identification of behavioral pattern of simulated transaction data

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Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11461793
Date of Patent
October 4, 2022
Patent Application Number
16674459
Date Filed
November 5, 2019
Patent Citations
‌
US Patent 10489864 Systems and methods for generating customer transaction test data that simulates real world customer transaction data
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US Patent 10521856 Categorizing financial transactions based on spending patterns
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US Patent 10832249 Heuristic money laundering detection engine
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US Patent 10686811 Techniques for customer-derived training of intrusion management systems
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US Patent 10949825 Adaptive merchant classification
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US Patent 10469315 Using computing platform definitions to provide segmented computing platforms in a computing system
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US Patent 10482466 Methods and arrangements to distribute a fraud detection model
Patent Citations Received
‌
US Patent 11669853 Distance points interactive interface and related methods
0
Patent Primary Examiner
‌
Nga B. Nguyen
CPC Code
‌
G06Q 30/02
‌
G06Q 10/06

Embodiments can provide a method for identifying a behavioral pattern from simulated transaction data, the method including: simulating transaction data using a reinforcement learning model; and identifying a behavioral pattern from the simulated transaction data. The step of simulating transaction data further includes: providing standard customer transaction data representing a group of customers having similar transaction characteristics as a goal; and performing a plurality of iterations to simulate the standard customer transaction data, wherein the plurality of iterations is performed until a degree of similarity of simulated customer transaction data relative to the standard customer transaction data is higher than a first predefined threshold. In each iteration, the method includes conducting an action including a plurality of simulated transactions; comparing the action with the goal; providing feedback associated with the action based on a degree of similarity relative to the goal; and adjusting a policy based on the feedback.

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