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公开(公告)号:US12204551B2
公开(公告)日:2025-01-21
申请号:US17249939
申请日:2021-03-19
Inventor: Ji Liu , Haoyi Xiong , Dejing Dou , Siyu Huang , Jizhou Huang , Zhi Feng , Haozhe An
IPC: G06F16/24 , G06F16/2458 , G06F21/53
Abstract: Embodiments of the present disclosure provide a data mining system, a data mining method, and a storage medium. The data mining system includes a transfer device, a first trusted execution space and a second trusted execution space. The transfer device is configured to receive a data calling request of the second trusted execution space, obtain data to be called from the first trusted execution space according to the data calling request, and provide the data to be called to the second trusted execution space, so as to perform data mining based on the data to be called and the mining-related data to obtain a data mining result and to provide the data mining result to a device of the data user.
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公开(公告)号:US20210341646A1
公开(公告)日:2021-11-04
申请号:US17373113
申请日:2021-07-12
Inventor: Hao Liu , Jindong Han , Hengshu Zhu , Dejing Dou
Abstract: A weather parameter prediction model training method, a weather parameter prediction method, an electronic device and a storage medium are provided, and relate to the technical field of artificial intelligence, such as deep learning and big data. The method includes: establishing a weather parameter prediction model according to spatial correlation information among a plurality of monitoring stations; and adjusting the weather parameter prediction model according to observation values of a weather parameter for the plurality of monitoring stations and prediction values of the weather parameter for the plurality of monitoring stations output by the weather parameter prediction model. The present disclosure can improve an accuracy of predicting weather parameters.
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公开(公告)号:US20210318907A1
公开(公告)日:2021-10-14
申请号:US17355134
申请日:2021-06-22
Inventor: Ji Liu , Dejing Dou , Jizhou Huang , Qingyang Li
Abstract: A data management method, apparatus, a computing device, a storage medium, and a cloud platform are provided. The data management method includes: obtaining a task request, the task request indicating to retrieve stored data to execute a task; updating execution information for the data, the execution information for the data describing one or more tasks that need retrieval of the data and the execution frequency of each of the tasks; calculating, based on the updated execution information for the data and for each of a plurality of electronic storage locations, a storage-location-specific cost value of the data; and determining a target electronic storage location of the data according to the calculated cost value.
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公开(公告)号:US20210209938A1
公开(公告)日:2021-07-08
申请号:US17208830
申请日:2021-03-22
Inventor: Xinjiang Lu , Dejing Dou
Abstract: A traffic pattern prediction method, device, server, system, and a computer-readable medium are provided. The method includes: acquiring historical traffic volume data of a target block within a target geographic region, and determining a traffic pattern change sequence of the target block based on the historical traffic volume data; acquiring historical point-of-interest data of multiple point-of-interest categories of the target block, and determining, for at least one point-of-interest category of the multiple point-of-interest categories, a point-of-interest change sequence of the target block based on the historical point-of-interest data; determining, for the at least one point-of-interest category, an association between the traffic pattern change sequence and the point-of-interest change sequence; and determining, based on using a traffic pattern prediction model, a traffic pattern of the target block at a future target moment based on the historical traffic volume data, the historical point-of-interest data, and the association.
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公开(公告)号:US20210407693A1
公开(公告)日:2021-12-30
申请号:US17460024
申请日:2021-08-27
Inventor: Ji Liu , Dejing Dou , Jizhou Huang , Qiaojun Li
Abstract: A method and an apparatus for predicting an epidemic situation, a device, a storage medium, and a program product are provided. The method may include: estimating a variable parameter of the epidemic situation in a preset area using a Markov Chain Monte Carlo (MCMC) method; acquiring a constant parameter of the epidemic situation in the preset area; constructing a transmission model based on the variable parameter and the constant parameter; and fitting, using the transmission model, to predict epidemic information of the preset area.
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