INDEX FOR MULTI-LEVEL DATA STRUCTURES
    71.
    发明公开

    公开(公告)号:US20240320204A1

    公开(公告)日:2024-09-26

    申请号:US18680140

    申请日:2024-05-31

    申请人: Salesforce, Inc.

    IPC分类号: G06F16/22

    CPC分类号: G06F16/2264

    摘要: Techniques are disclosed relating to index metadata that is usable for accessing multi-level data structures. A computer system may operate a database, including maintaining a set of records having a set of corresponding keys. The computer system may create multi-level data structures that facilitate key range lookups against those records. A given multi-level data structure may store key information indicative of a subset of the corresponding keys. The computer system may create separate index metadata that is usable for accessing the multi-level data structures. The index metadata may specify indications of key information that is stored in the multi-level data structures and locations of the multi-level data structures. The computer system may perform a key range lookup that includes using the index metadata to determine a particular set of the multi-level data structures whose key information corresponds to a key range of the key range lookup.

    DATA DIMENSIONALITY REDUCTION METHOD, COMPUTER PROGRAM, AND DATA DIMENSIONALITY REDUCTION DEVICE

    公开(公告)号:US20240211457A1

    公开(公告)日:2024-06-27

    申请号:US18573981

    申请日:2022-06-10

    申请人: UACJ CORPORATION

    发明人: Ryota MAENO

    IPC分类号: G06F16/22 G06F16/23

    摘要: A data dimensionality reduction method includes: a step of dimensionally reducing a group of data from a high-dimensional space to a low-dimensional space using a distance function that defines a distance between any two vectors in the high-dimensional space; a step of dividing the dimensionally-reduced low-dimensional space into multiple subspaces; an analysis step of performing a regression analysis using a regression model based on at least one belonging data for each divided subspace; and a step of updating p first parameters included in the distance function based on results of the regression analysis in the multiple subspaces.

    METADATA-DRIVEN COMPUTING SYSTEM
    80.
    发明公开

    公开(公告)号:US20240202188A1

    公开(公告)日:2024-06-20

    申请号:US18584296

    申请日:2024-02-22

    摘要: Unified modeling, management, automation, simulation, and interoperability of business and device processes utilizing components of a metadata-driven computing system on any device. In an embodiment, an I/O processor on a device receives a type of input dataset, which may be a process dataset. When the input dataset is not a process dataset, the I/O processor creates the process dataset comprising a process from a second process dataset wherein the process is used for processing the type of input dataset received, and the I/O processor nests the input dataset within the row representing said process in the process dataset. The I/O processor processes each row representing a process in the process dataset. Processing of the process dataset by the I/O processor may query and update the state of entities within a state dataset and may output one or more datasets to be sent to one or more computing systems for processing.