Auto-analyzing spatial relationships in multi-scale spatial datasets for spatio-temporal prediction
US10600007B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 4, 2014 |
| Grant date | Mar 24, 2020 |
| Priority date | — |
| Expiry date | Nov 21, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system to perform spatio-temporal prediction are described. The method includes obtaining, based on communication with one or more sources, multi-scale spatial datasets, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities. The method also includes generating new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets. The method further includes selecting, using the processor, features of interest from among the new features, training a predictive model based on the features of interest, and predicting an event based on the predictive model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.