Computing confidential data insight histograms and combining with smoothed posterior distribution based histograms
US10061939B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 3, 2017 |
| Grant date | Aug 28, 2018 |
| Priority date | — |
| Expiry date | Mar 8, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, a number of buckets is determined for an empirical histogram of confidential data values submitted to a computer system. The empirical histogram for the confidential data values is computed. Posterior distribution endpoints corresponding to the computed empirical histogram endpoints of the empirical histogram are computed. Then an interval between the posterior distribution endpoints is divided into the determined number of buckets, producing a smoothed histogram based on the posterior distribution. A weight factor is determined based on a ratio between a number of valid entries in a cohort of the confidential data values and a threshold used to determine whether smoothing needs to be performed. Linear interpolation of bucket endpoints is performed for the empirical histogram and the smoothed histogram, using the weight factor to weight the empirical histogram.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.