Automatically-generated labels for time series data and numerical lists to use in analytic and machine learning systems
US11887015B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 23, 2020 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Jan 4, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for performing analytics using automatically generated labels for time series data and numerical lists are disclosed. In some embodiments, a system loads a set of one or more time series datasets. A respective time series dataset may include a set of data points based on varying values of a metric of one or more computing resources over a window of time. The system assigns labels to a subset of the data points in the time series datasets. The label assigned to a given data point may be descriptive of a pattern reflected by the data point relative to other data points in the time series. The system further identifies a pattern of automatically assigned labels that is indicative of an event affecting the one or more computing resources. Responsive to identifying the pattern of labels, the system may trigger a responsive action.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.