OPTIMIZED EXECUTION OF FRAUD DETECTION RULES

Patent №

US 11,645,389

Granted

2023-05-09

Filed 2019

Owner

MASTERCARD TECHNOLOGIES CANADA ULC

Lab

AI components

4

nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16567148

Systems, methods, devices, and computer readable media related to fraud detection. Fraud detection is achieved using a flexible scripting language and syntax that simplifies the generation of fraud detection rules. The rules are structured as conditional IF-THEN statements that include data objects referred to as Anchors and Add-Ons. The Anchors and Add-Ons used to generate the rules also correspond to a distinct data path for the retrieval data from any of a variety of data sources. The retrieval of data from the various data sources is optimized based on data dependencies within the rules. By knowing the data dependencies of each rule and utilizing parallelization of rule execution, the retrievals of data from the data sources is achieved efficiently so the rules can be executed quickly.

Natural languageKnowledge representationPlanningAI hardwareG06F 21/564G06F 8/51G06F 21/554G06F 21/561G06Q 30/0185

AI classification

Knowledge representation1.00
Planning1.00
AI hardware0.98
Natural language0.98
Machine learning0.02
Vision0.01
Evolutionary computation0.00
Speech0.00

Ownership

MASTERCARD TECHNOLOGIES CANADA ULC

assignment · 503680256

Assignors

LUKASHUK, RANDY, SEVASTYANOV, ANDRIAN, MCGEE, PERRY, GIBLIN, ANDREW, GIGIBERIA, AMIRAN, TSENG, YI WEI, WAN, KENNY

On an employer assignment, the assignors are typically the inventors.

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