Invention Grant
- Patent Title: System and method for approximating query results using neural networks
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Application No.: US15858957Application Date: 2017-12-29
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Publication No.: US11321320B2Publication Date: 2022-05-03
- Inventor: Adi Azaria , Amir Orad , Nir Regev , Guy Levy Yurista
- Applicant: Sisense Ltd.
- Applicant Address: IL Ramat Gan
- Assignee: Sisense Ltd.
- Current Assignee: Sisense Ltd.
- Current Assignee Address: IL Ramat Gan
- Agency: M&B IP Analysts, LLC
- Main IPC: G06F16/2453
- IPC: G06F16/2453 ; G06N3/08 ; G06F16/248 ; G06F16/2458 ; G06N3/04 ; G06F16/2455 ; G06F16/903 ; G06N3/06

Abstract:
A system and method for generating approximations of query results. The method includes sending a received query to a neural network, wherein the received query is executable on a target data set; receiving from the neural network a predicted result to the received query; providing the predicted result as a first output to a device having initiated the received query; determining a real result of the query from a data set stored in the database when the predicted result is insufficiently accurate; and providing the real result as a second output to a device having initiated the received query.
Public/Granted literature
- US20190050726A1 SYSTEM AND METHOD FOR APPROXIMATING QUERY RESULTS USING NEURAL NETWORKS Public/Granted day:2019-02-14
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