Systems and methods for automated labeling of subscriber digital event data in a machine learning-based digital threat mitigation platform
US11481490B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 14, 2022 |
| Grant date | Oct 25, 2022 |
| Priority date | — |
| Expiry date | Mar 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/034
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for accelerating an automated labeling of a volume of unlabeled digital event data samples includes identifying a corpus characteristic of a digital event data corpus that includes a plurality of distinct unlabeled digital event data samples; selecting an automated bulk labeling algorithm based on the corpus characteristic associated with the digital event data corpus satisfying a bulk labeling criterion of the automated bulk labeling algorithm; evaluating a subset of the plurality of unlabeled digital event data samples, wherein evaluating the subset includes attributing a distinct classification label to each digital event data sample within the subset; and in response to the selection, executing the selected automated bulk labeling algorithm against the digital event data corpus, wherein the executing includes simultaneously assigning a classification label equivalent to the distinct classification label to a superset of the digital event data corpus that relates to the subset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.