Computer implemented systems for automatic hierarchy for large scale time series data sets
US10540377B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 9, 2019 |
| Grant date | Jan 21, 2020 |
| Priority date | — |
| Expiry date | Apr 9, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A hierarchical structure (e.g., a hierarchy) for use in hierarchical analysis (e.g., hierarchical forecasting) of timestamped data can be automatically generated. This automated approach to determining a hierarchical structure involves identifying attributes of the timestamped data, clustering the timestamped data to select attributes for the hierarchy, ordering the attributes to achieve a recommended hierarchical order, and optionally modifying the hierarchical order based on user input. Through the approach disclosed herein, a hierarchy can be generated that is designed to perform well under hierarchical models. This recommended hierarchy for use in hierarchical analysis may be agnostic to any planned hierarchy provided by or used by a user to otherwise interpret the timestamped data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.