公开(公告)号：US20240070160A1

公开(公告)日：2024-02-29

申请号：US18458291

申请日：2023-08-30

申请人： NEC CORPORATION

发明人： Erli WANG ,  Lu Feng

IPC分类号： G06F16/2457 ,  G06F16/2458

CPC分类号： G06F16/24578 ,  G06F16/2462

摘要： Embodiments of the present disclosure provide a data processing method and an electronic device, which relate to the computer field. The method includes: acquiring a time-series dataset, the time-series dataset comprising multiple time-series data items each comprising a time and multiple attribute parameters corresponding thereto; acquiring a target attribute parameter being at least one of the multiple attribute parameters; determining, based on a time-series model, at least one influence factor of the target attribute parameter, the at least one influence factor indicating at least one attribute parameter influencing the target attribute parameter and at least one time corresponding to the at least one attribute parameter; and outputting the at least one influence factor. As such, according to the embodiments of the present disclosure, for a target attribute parameter, at least one influence factor can be determined based on a time-series dataset and a time-series model. Therefore, an accurate reference can be provided for a decision on the target attribute parameter, and the decision made in this way is more accurate.

公开(公告)号：US20230214694A1

公开(公告)日：2023-07-06

申请号：US18148779

申请日：2022-12-30

申请人： NEC CORPORATION

发明人： Erli WANG ,  Lu FENG

IPC分类号： G06N5/045 ,  G06N5/022

CPC分类号： G06N5/045 ,  G06N5/022

摘要： Embodiments of the present disclosure relate to a data processing method and an electronic device, and relate to a field of computers. The method comprises: acquiring data to be processed, the data to be processed indicating at least one of: first state information, a first action, and second state information after executing the first action when the first state information is satisfied; determining result data based on the data to be processed using a trained data generation model, the result data indicating third state information after executing a second action when the first state information is satisfied, and the data generation model being obtained based on a training set and a causal model corresponding to at least one data item in the training set; and outputting the result data. In this way, the embodiments of the present disclosure can output result data corresponding to the data to be processed based on the trained data generation model, so as to realize data augmentation and to facilitate further processing based on the dataset.

公开(公告)号：US20230153689A1

公开(公告)日：2023-05-18

申请号：US17988409

申请日：2022-11-16

申请人： NEC CORPORATION

发明人： Erli WANG ,  Lu FENG

IPC分类号： G06N20/00

CPC分类号： G06N20/00

摘要： Embodiments of the present disclosure relate to an information processing method and an electronic device and relate to a computer field. The method comprises: obtaining input information from a user, the input information at least indicating at least one of: attribute information of at least one target object, or information of a current perception category of the at least one target object; determining a target decision for the at least one target object based on the input information using a trained decision model; and outputting the target decision. In this way, the embodiments of the present disclosure can output a target decision corresponding to the input information of the user based on the trained decision model, so as to provide a reference to the user for decision making and facilitate the user to maintain the perception category of the target object.