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公开(公告)号:US20240070141A1
公开(公告)日:2024-02-29
申请号:US18239471
申请日:2023-08-29
Applicant: Palantir Technologies Inc.
Inventor: Hannah Cohen , Myles Novick , Timothy Schwab
CPC classification number: G06F16/2365 , G06F16/213 , G06F21/60
Abstract: Disclosed herein are systems and methods for generating notional data. The method includes: receiving seed data of one or more object types in a base dataframe; defining one or more functional relationships associated with the one or more object types, at least one functional relationship of the one or more functional relationships specifying a change to seed data of one object type of the one or more object types; generating data of the one or more object types based at least in part on the seed data in the base dataframe and the one or more functional relationships; and generating the notional data based at least in part on the generated data of the one or more object types.
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公开(公告)号:US12235829B2
公开(公告)日:2025-02-25
申请号:US18239471
申请日:2023-08-29
Applicant: Palantir Technologies Inc.
Inventor: Hannah Cohen , Myles Novick , Timothy Schwab
IPC: G06F16/00 , G06F16/21 , G06F16/23 , G06F16/242 , G06F16/2455 , G06F16/28 , G06F21/60
Abstract: Disclosed herein are systems and methods for generating notional data. The method includes: receiving seed data of one or more object types in a base dataframe; defining one or more functional relationships associated with the one or more object types, at least one functional relationship of the one or more functional relationships specifying a change to seed data of one object type of the one or more object types; generating data of the one or more object types based at least in part on the seed data in the base dataframe and the one or more functional relationships; and generating the notional data based at least in part on the generated data of the one or more object types.
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