Fast grouping of time series
US10176246B2 · kind B2 · utility
7Cited by
3References
10Claims
0Family size
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Key dates
| Filing date | Jun 14, 2013 |
| Grant date | Jan 8, 2019 |
| Priority date | — |
| Expiry date | Aug 21, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some examples, a time-series data set can be analyzed and grouped in a fast and efficient manner. For instance, fast grouping of multiple time-series into clusters can be implemented through data reduction, determining cluster population, and fast matching by locality sensitive hashing. In some situations, a user can select a level of granularity for grouping time-series into clusters, which can involve trade-offs between the number of clusters and the maximum distance between two time-series in a cluster.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.