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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: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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3.
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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