Computing smoothed posterior distribution of confidential data
US10552741B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 9, 2017 |
| Grant date | Feb 4, 2020 |
| Priority date | — |
| Expiry date | Jul 18, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example, a set of cohort types and an anonymized set of confidential data data values for a plurality of cohorts having cohort types in the set of cohort types are obtained. Then it is determined, from a set of candidate data transformations, a best fitting data transformation for the anonmyized set of confidential data data values. The anonymized set of confidential data data values is transformed using the best fitting data transformation. Optimal smoothing parameters are computed for each cohort type. Then, for each cohort in the set of cohort types having a small sample size, a best parent for the cohort is determined and a posterior distribution for the cohort is determined based on the best parent for the cohort and the optimal smoothing parameters for a cohort type for the cohort.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.