System and method for unsupervised abstraction of sensitive data for detection model sharing across entities
US12056720B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 5, 2019 |
| Grant date | Aug 6, 2024 |
| Priority date | — |
| Expiry date | Sep 30, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0204
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An abstraction system for generating a standard customer profile may receive customer data and perform unsupervised learning on the customer data to produce a plurality of clusters of customers with a plurality of features in common, determine that a cluster represents a standard customer and store a plurality of standard customer profiles based on the determined standard customers. The abstraction system may also provide the standard customer profiles to a cognitive system for generating synthetic transaction data based on the standard customer. Generating synthetic transaction data includes selecting a standard customer profile as a goal, simulating a plurality of transactions, comparing the plurality of transactions with the goal, providing feedback, adjusting a policy based on the feedback, repeating until a degree of similarity between the plurality of transactions and the goal is higher than a predefined threshold, and outputting the resulting plurality of transactions as the synthetic transaction data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.