Invention Grant
- Patent Title: Transferring large datasets by using data generalization
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Application No.: US16875514Application Date: 2020-05-15
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Publication No.: US11556827B2Publication Date: 2023-01-17
- Inventor: Daniel Jakub Ryszka , Bartlomiej Tomasz Malecki , Maria Hanna Oleszkiewicz , Blazej Rafal Rutkowski
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Yee & Associates, P.C.
- Main IPC: G06N7/00
- IPC: G06N7/00 ; H04L67/00 ; G06K9/62 ; G06N3/04

Abstract:
A computer-implemented method for transferring data is provided. In an illustrative embodiment, the method includes retrieving, by a computer, an original dataset to be sent from a sender to a receiver. The method also includes generating, by the computer, a model based on at least a subset of the original dataset. The model generates a predicted dataset. The model is selected from a plurality of model types based on data complexity of the original dataset and a desired level of approximation of the predicted dataset to the original dataset. The method also includes transferring, by the computer, the model to the receiver. The receiver uses the model to generate the predicted dataset, wherein the predicted dataset matches the original dataset to a selected degree of approximation. Transfer of the model is quicker than transfer of the original dataset.
Public/Granted literature
- US20210357795A1 TRANSFERRING LARGE DATASETS BY USING DATA GENERALIZATION Public/Granted day:2021-11-18
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N7/00 | 基于特定数学模式的计算机系统 |