Invention Grant
- Patent Title: External dataset-based outlier detection for confidential data in a computer system
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Application No.: US15279326Application Date: 2016-09-28
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Publication No.: US10043019B2Publication Date: 2018-08-07
- Inventor: Krishnaram Kenthapadi , Stuart MacDonald Ambler , Parul Jain
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F21/60
- IPC: G06F21/60 ; G06F21/62

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.
Public/Granted literature
- US20180089442A1 EXTERNAL DATASET-BASED OUTLIER DETECTION FOR CONFIDENTIAL DATA IN A COMPUTER SYSTEM Public/Granted day:2018-03-29
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