Multi-layered self-calibrating analytics
US11682019B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 22, 2021 |
| Grant date | Jun 20, 2023 |
| Priority date | — |
| Expiry date | Jun 5, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q40/02
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
This document presents multi-layered, self-calibrating analytics for detecting fraud in transaction data without substantial historical data. One or more variables from a set of variables are provided to each of a plurality of self-calibrating models that are implemented by one or more data processors, each of the one or more variables being generated from real-time production data related to the transaction data. The one or more variables are processed according to each of the plurality of self-calibrating models implemented by the one or more data processors to produce a self-calibrating model output for each of the plurality of self-calibrating models. The self-calibrating model output from each of the plurality of self-calibrating models is combined in an output model implemented by one or more data processors. Finally, a fraud score output for the real-time production data is generated from the self-calibrating model output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.