Soft segmentation based rules optimization for zero detection loss false positive reduction
US11694292B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 25, 2019 |
| Grant date | Jul 4, 2023 |
| Priority date | — |
| Expiry date | Apr 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q40/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method includes soft-segment based rules optimization that can mitigate the overall false positives while maintaining 100% true positive detection. The soft clustering allows real-time re-assignment of an account to a dominate archetype behavior, as well as rule optimization based on a logical order with more relaxation on thresholds for the most inefficient rules is performed within each archetype. The rule optimization provides false positive reduction compared to a baseline rule system. The method can be used to reduce false positives for any rule-based detection system in which the same true positive detection is required.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.