-
公开(公告)号：US12061639B2
公开(公告)日：2024-08-13
申请号：US17937190
申请日：2022-09-30
IPC分类号： G06F16/35 , G06F16/332 , G06N20/00
CPC分类号： G06F16/35 , G06F16/3329 , G06N20/00
摘要： Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by generating a hybrid class for a multi-party communication transcript data object associated with a predictive entity utilizing a hybrid space classification machine learning model, generating a machine learning-based risk score utilizing a hybrid-class-based risk scoring machine learning model, and generating a hierarchical-workflow risk score using a hierarchical risk score adjustment workflow.
-
2.发明公开公开(公告)号：US20240111799A1
公开(公告)日：2024-04-04
申请号：US17937190
申请日：2022-09-30
IPC分类号： G06F16/35 , G06F16/332 , G06N20/00
CPC分类号： G06F16/35 , G06F16/3329 , G06N20/00
摘要： Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by generating a hybrid class for a multi-party communication transcript data object associated with a predictive entity utilizing a hybrid space classification machine learning model, generating a machine learning-based risk score utilizing a hybrid-class-based risk scoring machine learning model, and generating a hierarchical-workflow risk score using a hierarchical risk score adjustment workflow.
-
搜索结果
2 条记录 (耗时 0.013 秒)
