The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 04, 2020

Filed:

Jan. 09, 2017
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Krishnaram Kenthapadi, Sunnyvale, CA (US);

Stuart MacDonald Ambler, Longmont, CO (US);

Liang Zhang, Fremont, CA (US);

Deepak Agarwal, Sunnyvale, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/12 (2006.01); G06F 21/62 (2013.01); G06N 20/20 (2019.01); G06F 16/2455 (2019.01); G06N 20/00 (2019.01); G06F 16/25 (2019.01);
U.S. Cl.
CPC ...
G06N 3/126 (2013.01); G06F 16/24554 (2019.01); G06F 16/258 (2019.01); G06F 21/6254 (2013.01); G06N 20/00 (2019.01);
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.


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