Auto-tuning of rule weights in profiles
US11568075B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 10, 2020 |
| Grant date | Jan 31, 2023 |
| Priority date | — |
| Expiry date | Mar 17, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/0861
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a system to optimize rule weights for classifying access requests so as to manage rates of false positives and false negative classifications. A rules suggestion engine may suggest a profile of classification rules to a merchant for access requests. The system can optimize weights for the profile of rules using a cost function based on a training set of historical access requests, for example using stepwise regression or machine learning (ML). The system can compute a profile score based on the optimized weights, for example by summing the weights. The system statistically analyzes the profile score using classification thresholds and the historical access requests. The system can perform receiver operating characteristic (ROC) analysis for various threshold values, enabling a user to select a suitable threshold. The system can further optimize by adding or removing rules from the profile of rules.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.