External dataset-based outlier detection for confidential data in a computer system
US10043019B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2016 |
| Grant date | Aug 7, 2018 |
| Priority date | — |
| Expiry date | Dec 22, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/2115
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example, a plurality of segments of percentile information indicating submitted confidential data values from users matching at least one attribute of a submitting user are retrieved. Then, for each of the segments, an interquartile range is calculated for a first and a second of a plurality of percentiles in the segment, an initial lower limit is computed for the segment by taking a maximum of zero or the difference between the value for the first of the plurality of percentiles and a product of a preset alpha parameter and the interquartile range, and interpolation is performed on values for the plurality of percentiles for the segment to obtain values for a third percentile. The initial lower limits and the interpolated values for the third percentiles are aggregated across the segments. A merged lower limit is determined by applying a function to the aggregated initial lower limits and aggregated interpolated values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.