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:
Dec. 10, 2024

Filed:

Nov. 07, 2022
Applicant:

Pwc Product Sales Llc, New York, NY (US);

Inventors:

Zhen Qi, Atlanta, GA (US);

Mansi Arora, Uttar Pradesh, IN;

Bo Li, Shanghai, CN;

Yifeng Wang, Shanghai, CN;

Samuel Pierce Burns, Philadelphia, PA (US);

Joseph David Voyles, Louisville, KY (US);

Anand Srinivasa Rao, Boston, MA (US);

Assignee:

PwC Product Sales LLC, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 16/23 (2019.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01);
U.S. Cl.
CPC ...
G06F 18/214 (2023.01); G06F 16/23 (2019.01); G06F 18/22 (2023.01);
Abstract

System and methods for generating synthetic data according to a plurality of options are provided. According to a first option, synthetic data is generated based on an indication of one or more target distributions. According to a second option, a one or more target distributions are determined based on a sample data set, and synthetic data is generated based on the determined target distribution(s). According to a third option, a temporary synthetic data set is generated based on an indication of one or more target distributions, matches between the temporary synthetic data set and a sample data set are then identified, and a synthetic data set is then generated based on the identified matches. A system may automatically determine which option to leverage based on whether a user provides a sample data set, one or more target distributions, or both.


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