Classification of time series data
US11455322B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 12, 2020 |
| Grant date | Sep 27, 2022 |
| Priority date | — |
| Expiry date | Dec 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described are techniques for determining statistical properties of time series data. The techniques include a method comprising graphing, from time series data, a time series data graph. The method further comprises iteratively segmenting the time series data graph into respective pluralities of subgraphs using respective segmentation schemes until a first plurality of subgraphs generated by a first segmentation scheme exhibits a similarity between respective subgraphs of the first plurality of subgraphs satisfying a similarity threshold. The first segmentation scheme can be selected from: an equidistant segmentation scheme, a local extrema segmentation scheme, and a windowed segmentation scheme. The method further comprises associating a classification to the time series data based on the first segmentation scheme. The classification can be indicative of one selected from: stationarity of the time series data, periodicity of the time series data, and trending of the time series data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.