公开(公告)号：US20230297809A1

公开(公告)日：2023-09-21

申请号：US18114852

申请日：2023-02-27

Applicant: SAS Institute Inc.

Inventor： Iman Vasheghani Farahani ,  Ron Travis Hodgin ,  Sujatha Pothireddy ,  Kaushal Lalitkumar Chauhan ,  Bhupendra Suresh Bendale ,  Harshad Dinesh Bapat ,  Kritika Misra

IPC: G06N3/044

CPC classification number: G06N3/044 ,  G06F3/04847

Abstract: Some examples can involve a system that can receive a first user selection of time series data and a second user selection of a type of forecasting model to apply to the time series data. The system can then obtain a first set of candidate values and a second set of candidate values for a first parameter and a second parameter, respectively, of the selected type of forecasting model. The candidate values may be determined based on statistical information derived from the time series data. The system can then provide the first set of candidate values and the second set of candidate values to the user, receive user selections of a first parameter value and a second parameter value, and determine whether a conflict exists between the first parameter value and the second parameter value. If so, the system can generate an output indicating that the conflict exists.

公开(公告)号：US11748597B1

公开(公告)日：2023-09-05

申请号：US18114852

申请日：2023-02-27

Applicant: SAS Institute Inc.

Inventor： Iman Vasheghani Farahani ,  Ron Travis Hodgin ,  Sujatha Pothireddy ,  Kaushal Lalitkumar Chauhan ,  Bhupendra Suresh Bendale ,  Harshad Dinesh Bapat ,  Kritika Misra

IPC: G06N3/04 ,  G06N3/044 ,  G06F3/04847

CPC classification number: G06N3/044 ,  G06F3/04847

Abstract: Some examples can involve a system that can receive a first user selection of time series data and a second user selection of a type of forecasting model to apply to the time series data. The system can then obtain a first set of candidate values and a second set of candidate values for a first parameter and a second parameter, respectively, of the selected type of forecasting model. The candidate values may be determined based on statistical information derived from the time series data. The system can then provide the first set of candidate values and the second set of candidate values to the user, receive user selections of a first parameter value and a second parameter value, and determine whether a conflict exists between the first parameter value and the second parameter value. If so, the system can generate an output indicating that the conflict exists.

公开(公告)号：US10685283B2

公开(公告)日：2020-06-16

申请号：US16726616

申请日：2019-12-24

Applicant: SAS Institute Inc.

Inventor： Yue Li ,  Michele Angelo Trovero ,  Phillip Mark Helmkamp ,  Jerzy Michal Brzezicki ,  Macklin Carter Frazier ,  Timothy Patrick Haley ,  Randy Thomas Solomonson ,  Sangmin Kim ,  Steven Christopher Mills ,  Yung-Hsin Chien ,  Ron Travis Hodgin ,  Jingrui Xie

IPC: G06N3/08 ,  G06F16/2458 ,  G06F16/28 ,  G06N3/04 ,  G06F16/242 ,  G06F16/248 ,  G06F16/26 ,  H04L12/24

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 modeling results such as forecasts of the time series. The pipeline includes a segmentation operation for categorizing the time series into multiple demand classes based on demand characteristics of the time series. The pipeline also includes multiple sub-pipelines corresponding to the multiple demand classes. Each of the sub-pipelines applies a model strategy to the time series in the corresponding demand class. The model strategy is selected from multiple candidate model strategies based on predetermined relationships between the demand classes and the candidate model strategies. The pipeline is executed to determine the modeling results for the time series.