Patent · US Active

Time series forecasting to determine relative causal impact

US11537847B2 · kind B2 · utility

2Cited by
2References
24Claims
0Family size

Assignee

Inventors

Key dates

Filing dateAug 12, 2016
Grant dateDec 27, 2022
Priority date
Expiry dateFeb 8, 2039

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06Q30/0201
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A method and system are provided to calculate a future behavioral data and identify a relative causal impact of external factors affecting the data. Behavioral data and data for one or more external factors are harvested for a first time period. New behavioral data is harvested for a second time period. New data for the second time period is harvested. Based on a second training algorithm, a forecast time series value of a future behavioral data for a third time period that is after the second time period is calculated. A relative causal impact between each external factor and the predicted time series value of the behavioral data, for the third time period, is identified.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.