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:
Oct. 03, 2023

Filed:

Aug. 29, 2019
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Ashesh Parikh, Frisco, TX (US);

Afzal Husain, Parker, TX (US);

Alon Arad, Sugarland, TX (US);

Suresh Aswathnarayana, Mukiltoe, WA (US);

Ragnar-Miguel Myhrer, Madison, NJ (US);

Tejas Rao, Toronto, CA;

Sharad Sachdev, Glen Head, NY (US);

Joshua Intriligator, New York, NY (US);

Scott Andrew Alfieri, Chester, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2023.01); G06F 16/903 (2019.01); G06F 16/906 (2019.01); G06F 16/901 (2019.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
G06N 7/01 (2023.01); G06F 16/906 (2019.01); G06F 16/9024 (2019.01); G06F 16/90335 (2019.01);
Abstract

A system may receive a cluster prediction requirement. The system may determine a first node conglomerate by sorting a first dataset into a first plurality of nodes. The system may determine a plurality of attributes by sorting a second dataset associated with the cluster prediction requirement. The system may determine a second node conglomerate for each of the plurality of attributes. A node confidence score may be assigned to each of the second plurality of nodes. The system may determine a node graph based on a comparison between the first node conglomerate and the second node conglomerate. The node graph may be iteratively modified based on a node optimization threshold value to generate a harmonized node graph. The node optimization threshold value may be based on a map confidence score allotted to the node graph.


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