SYSTEMS AND METHODS FOR QUANTILE DETERMINATION IN A DISTRIBUTED DATA SYSTEM

Patent №

US 9,507,833

Granted

2016-11-29

Filed 2016

Owner

SAS INSTITUTE INC.

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15142500

In accordance with the teachings described herein, systems and methods are provided for estimating quantiles for data stored in a distributed system. In one embodiment, an instruction is received to estimate a specified quantile for a variate in a set of data stored at a plurality of nodes in the distributed system. A plurality of data bins for the variate are defined that are each associated with a different range of data values in the set of data. Lower and upper quantile bounds for each of the plurality of data bins are determined based on the total number of data values that fall within each of the plurality of data bins. The specified quantile is estimated based on an identified one of the plurality of data bins that includes the specified quantile based on the lower and upper quantile bounds.

AI classification

Knowledge representation1.00
Planning0.84
AI hardware0.56
Vision0.43
Machine learning0.04
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

SAS INSTITUTE INC.

assignment · 384240306

Assignors

GUIRGUIS, GEORGES H., POPE, SCOTT, SCHABENBERGER, OLIVER

On an employer assignment, the assignors are typically the inventors.

From the same owner

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