The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 11, 2020

Filed:

Jun. 26, 2019
Applicant:

Sas Institute Inc., Cary, NC (US);

Inventors:

Udo Vincenzo Sglavo, Raleigh, NC (US);

Phillip Mark Helmkamp, Apex, NC (US);

Jerzy Michal Brzezicki, Cary, NC (US);

Timothy Patrick Haley, Cary, NC (US);

Sujatha Pothireddy, Apex, NC (US);

Assignee:

SAS INSTITUTE INC., Cary, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/24 (2006.01); G06F 11/34 (2006.01); G06F 17/18 (2006.01); G06F 17/50 (2006.01); G06N 20/00 (2019.01); G06N 7/00 (2006.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
H04L 41/0663 (2013.01); H04L 41/0668 (2013.01); H04L 41/0686 (2013.01); H04L 41/12 (2013.01); H04L 41/16 (2013.01); H04L 41/22 (2013.01); G06F 11/3447 (2013.01); G06F 11/3452 (2013.01); G06F 17/18 (2013.01); G06F 17/5009 (2013.01); G06N 5/04 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01);
Abstract

A pipeline system for time-series data forecasting using a distributed computing environment is disclosed herein. In one example, a pipeline for forecasting time series is generated. The pipeline represents a sequence of operations for processing the time series to produce forecasts. The sequence of operations include model strategy operations for applying various model strategies to the time series to determine error distributions corresponding to the model strategies. The sequence of operations further include a model-strategy comparison operation for determining which of the model strategies is a champion model strategy for the plurality of time series based on the error distributions of the model strategies. The pipeline is executed to determine the champion model strategy for the time series.


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