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  • Patent number: 11256985
    Abstract: A system and method for generating training sets for training neural networks. The method includes determining a segmentation based on a column from a columnar database table; generating a group-by query based on the segmentation; generating a plurality of reduced queries based on the group-by query; executing the group-by query on a table of a database to obtain a result table, wherein the result table includes a plurality of results, wherein each result corresponds to a respective reduced query of the plurality of reduced queries; and generating a plurality of training query pairs by pairing each reduced query with its corresponding reduced result.
    Type: Grant
    Filed: December 17, 2019
    Date of Patent: February 22, 2022
    Assignee: Sisense Ltd.
    Inventor: Nir Regev