Method and system for forecasting in sparse data streams via dense data streams
US11556774B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 27, 2018 |
| Grant date | Jan 17, 2023 |
| Priority date | — |
| Expiry date | Nov 18, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for forecasting in sparse data streams. In an example embodiment, steps or operations can be implemented for mapping a time series data stream to generate forecast features using a neural network, transforming the forecast features into a space with transformed forecast features thereof using metric learning, clustering the transformed forecast features in a cluster, initializing a forecast learning algorithm with a combination of the transformed forecast features in the cluster corresponding to a sparse data stream, and displaying forecasts in a GUI dashboard with information indicative of how the forecasts were achieved, wherein the mapping, the transforming, the clustering, and the initializing together lead to increases in a speed of the forecasting and computer processing thereof.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.