MACHINE-LEARNING MODEL FRAUD DETECTION SYSTEM AND FRAUD DETECTION METHOD

Patent №

US 11,544,352

Granted

2023-01-03

Filed 2019

Owner

HITACHI KOKUSAI ELECTRIC INC.

Lab

AI components

2

ml · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16615619

A machine learning model fraud detection system and fraud detection method wherein a license/model management apparatus: generates a test data-trained model by inputting a pre-trained model and test data associated therewith from a licensor apparatus, carrying out learning using the test data on the pre-trained model; stores the test data-trained model in association with the output values obtained when the test data is executed in the test data-trained model; inputs the associated test data into a user model, executes the model when the user model is inputted from a user apparatus using the test data-trained model; compares the output data from the user model with the stored output values from the test data-trained model and detects the fraud if the resulting error is outside tolerance limits.

Machine learningKnowledge representationG06N 20/20G06F 18/2185G06F 18/2413G06F 21/10G06F 21/54G06N 3/0464G06N 3/09G06N 20/00+8 more

AI classification

Machine learning1.00
Knowledge representation0.72
AI hardware0.45
Natural language0.11
Planning0.03
Vision0.01
Evolutionary computation0.00
Speech0.00

Ownership

HITACHI KOKUSAI ELECTRIC INC.

assignment · 510780846

Assignors

HASEGAWA, KEIGO

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

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