US Patent 12079705 Deep learning for credit controls
Patent 12079705 was granted and assigned to Chicago Mercantile Exchange on September, 2024 by the United States Patent and Trademark Office.
All edits
Edits on 5 Sep, 2024
Golden AI
Edits made to:
Infobox (+16 properties)
Article (+558 characters)
US Patent 12079705 Deep learning for credit controls
Article
Patent abstract
Systems and methods are provided to identify abnormal transaction activity by a participant that is inconsistent with current conditions. Historical participant and external data are identified. A recurrent neural network identifies patterns in the historical participant and external data. A new transaction by the participant is received. The new transaction is compared using the patterns to the historical participant and external data. An abnormality score is generated. An alert is generated if the abnormality score exceeds a threshold.
Infobox
Is a
Patent Applicant
Current Assignee
Patent Jurisdiction
Patent Number
Patent Inventor Names
Ari Studnitzer0
David Geddes0
Inderdeep Singh0
Date of Patent
September 3, 2024
0Patent Application Number
181125820
Date Filed
February 22, 2023
0Patent Citations
Patent Primary Examiner
Find more entities like US Patent 12079705 Deep learning for credit controls
Use the Golden Query Tool to find similar entities by any field in the Knowledge Graph, including industry, location, and more.
