Data sequence prediction method and computing device
US12223398B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 30, 2020 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Sep 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A data sequence prediction method includes calculating, based on historical data sequences of N objects, a similarity distance between every two objects of the N objects, to obtain a similarity distance set, where the similarity distance is used to represent a similarity degree of two objects, the historical data sequence includes a plurality of pieces of data arranged according to a preset rule, and N is a positive integer greater than 1, dividing the N objects into K prediction object classes based on the similarity distance set using a clustering algorithm, where K is a positive integer, and K≤N, and predicting a future data sequence of an object included in at least one prediction object class of the K prediction object classes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.