Patent · US Active

Method, apparatus and computer program for selecting a subset of training transactions from a plurality of training transactions

US11954685B2 · kind B2 · utility

0Cited by

5References

11Claims

0Family size

Assignee

SONY GROUP CORPORATION · JP

Inventors

Francesco CARTELLA · Stuttgart, DE
Gert Ceulemans · Stuttgart, DE
Orlando Anunciacao · Stuttgart, DE
Gabriel ARMELIN · Stuttgart, DE
Ales NOVAK · Stuttgart, DE
Cristian Traum · Stuttgart, DE

Key dates

Filing date	Mar 6, 2020
Grant date	Apr 9, 2024
Priority date	—
Expiry date	Jun 24, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06Q20/401
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Training a machine learning model includes selecting a subset of training transactions from a plurality of training transactions to be used for classifying transactions as either fraudulent or genuine, and classifying transactions as either fraudulent or genuine. Additionally, selecting the subset of training transactions includes clustering the plurality of training transactions into a plurality of clusters based on a similarity measure. Each training transaction includes an indication whether the training transaction is fraudulent or genuine. Further, selecting the subset of training transactions includes selecting a first proportion of the training transactions of a cluster of training transactions for the subset of training transactions if the cluster comprises at least one fraudulent training transaction, and selecting a second proportion of the training transactions of a cluster of training transactions for the subset of training transactions if the cluster is free of fraudulent training transactions.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.