SYSTEMS AND METHODS FOR AUTOMATICALLY CREATING MACHINE LEARNED FRAUD DETECTION MODELS

SYSTEMS AND METHODS FOR AUTOMATICALLY CREATING MACHINE LEARNED FRAUD DETECTION MODELS

A system and method is provided for automatically creating machine learned fraud detection models. Data received from a plurality of devices can be used to train a model for each of the plurality of entities. Each of the models can be trained using recursive model stacking and each model can output...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Einhorn-Cohen, Michal, SHACHAR, Amir
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:A system and method is provided for automatically creating machine learned fraud detection models. Data received from a plurality of devices can be used to train a model for each of the plurality of entities. Each of the models can be trained using recursive model stacking and each model can output a corresponding score. A second model can be trained for each of the plurality of entities based on the first model and a corresponding output score of the first model. The second model can also be trained using recursive model stacking.