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.
AI classification
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.