RENDERING TRANSACTION DATA TO IDENTIFY FRAUD DETECTION RULE STRENGTH

Patent №

US 10,115,108

Granted

2018-10-30

Filed 2016

Owner

EMC CORPORATION

Lab

AI components

3

ml · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15083685

Techniques of identifying fraud detection rule strength involve varying the rendering of a graph from transaction data. Along these lines, a rules server computer provides a general graph from a group of transaction entries defining a group of fraudulent and authentic transactions on an electronic display. A user defines selection criteria that the rules server computer applies to the group of transaction entries to generate a subgroup of transaction entries. From the subgroup of transaction entries, the rules server computer provides a focused graph on the electronic display from the subgroup of transaction entries defining a subgroup of the group of fraudulent and authentic transactions. A ratio of the number of fraudulent transactions to the number of authentic transactions represented in the focused graph identifies the strength of the selection criteria for use in a fraud detection rule.

Machine learningKnowledge representationPlanningG06Q 20/4016G06F 21/554G06F 21/577G06Q 20/389G06Q 20/405G06Q 20/4093G06T 11/206G06T 11/26+1 more

AI classification

Knowledge representation0.99
Planning0.98
Machine learning0.89
AI hardware0.47
Evolutionary computation0.40
Vision0.18
Natural language0.07
Speech0.00

Ownership

EMC CORPORATION

assignment · 385810001

Assignors

GENDELEV, ANATOLY, ZASLAVSKY, ALEX, RAVIV, KINERET, KOLMAN, EYAL, ZOHAR, ALMA

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

From the same owner

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