Learning of a feature based on betti sequences obtained from time series data
US11410055B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 19, 2019 |
| Grant date | Aug 9, 2022 |
| Priority date | — |
| Expiry date | Mar 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An apparatus obtains time series data to which a label indicating a category of classification is attached, where the time series data contains variations of target values during a period to which the label is attached. The apparatus divides the time series data into a plurality of sections, and generates an attractor for each of the plurality of sections where the attractor indicates a set of numerical values toward which the variations of the target values tends to evolve. The apparatus calculates a Betti sequence in accordance with the generated attractor for each of the plurality of sections, and obtains a feature for the Betti sequences of the plurality of sections by clustering the Betti sequences or by calculating a statistical quantity of the Betti sequences. The apparatus performs machine learning by using the obtained feature as an input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.