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.
Patent No.:
Date of Patent:
Feb. 13, 2024
Filed:
Mar. 04, 2022
Visa International Service Association, San Francisco, CA (US);
Board of Regents, the University of Texas System, Austin, TX (US);
Youxing Qu, Austin, TX (US);
Yiwei Cai, Mercer Island, WA (US);
Dan Wang, Austin, TX (US);
Harishkumar Sundarji Majithiya, Austin, TX (US);
Roshni Ann Samuel, Cedar Park, TX (US);
Susan Finnegan, San Jose, CA (US);
Claudia Barcenas, Austin, TX (US);
Himanshu Chauhan, Seattle, WA (US);
Visa International Service Association, San Francisco, CA (US);
Board of Regents, The University of Texas System, Austin, TX (US);
Abstract
Methods for generating fraud detection rules based on transaction data may include receiving historical transaction data, associating tags with each transaction, generating decision trees having root nodes and child nodes operably connected to the respective root nodes, determining at least one primary rule and at least one set of secondary rules associated with the at least one primary rule based on relationships between features of the transactions, assigning primary rules and sets of secondary rules to the at least one decision tree to populate the tree, extracting a plurality of rule sets including at least one primary rule and one or more secondary rules, determining an ordering of the plurality of rule sets; and determining a subset of rule sets from the ordered plurality of rule sets against which subsequently received transactions are compared against to determine if the subsequent transactions are fraudulent.