Multivariate time-series search and classification learning methods and systems
US12229164B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 16, 2020 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | Sep 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for processing multivariate, time-series data to classify portions of the data corresponding to an identified event or condition. Time periods of interest may be identified as search criteria for a variety of purposes. As an example, an event or condition may occur, whereby, precursors to the event or condition may be present in the time-series data, and thereby be a time period of interest as a predictor of future occurrences. As another example, the state of the system during normal operation may be identified. Based on the provided data, the processing system may output a prediction or a likelihood of a re-occurrence of the condition. One or more actions may be taken in response to the output of the system to prevent the occurrence of the condition or otherwise respond to the possibility of the occurrence of the condition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.