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公开(公告)号:US12124933B2
公开(公告)日:2024-10-22
申请号:US16866139
申请日:2020-05-04
申请人: Actimize LTD.
发明人: Amir Shachar , Einat Neumann Ben Ari , Danny Butvinik , Yoav Avneon , Gabrielle Zaghdoun Azoulay , Liat Elboim
CPC分类号: G06N20/20 , G06N20/00 , G06Q20/4016 , G06F21/60
摘要: An artificial intelligence system configured to detect anomalies in transaction data sets. The system includes a processor and a computer readable medium operably coupled thereto, the computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, to perform modeling operations which include receiving a first data set for training a first machine learning model to detect anomalies in the transaction data sets using a machine learning technique, accessing at least one micro-model trained using at least one second data set separate from the first data set, determining risk scores from the first data set using the at least one micro-model, enriching the first data set with the risk scores, and determining the first machine learning model for the enriched first data set using the machine learning technique.