Deep learning for credit controls
US12079705B2 · kind B2 · utility
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6References
21Claims
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Key dates
| Filing date | Feb 22, 2023 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Feb 22, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q40/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided to identify abnormal transaction activity by a participant that is inconsistent with current conditions. Historical participant and external data are identified. A recurrent neural network identifies patterns in the historical participant and external data. A new transaction by the participant is received. The new transaction is compared using the patterns to the historical participant and external data. An abnormality score is generated. An alert is generated if the abnormality score exceeds a threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.