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:
Jul. 09, 2024

Filed:

Feb. 18, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Andrew T. Penrose, Dublin, IE;

Jitendra Singh, Noida, IN;

Himanshu Gupta, New Delhi, IN;

Vijay Arya, Bangalore, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 30/27 (2020.01); G06N 5/04 (2023.01); G06Q 50/16 (2012.01); G06T 17/05 (2011.01); G06F 16/29 (2019.01);
U.S. Cl.
CPC ...
G06Q 50/165 (2013.01); G06F 30/27 (2020.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06T 17/05 (2013.01); G06F 16/29 (2019.01); G06T 2207/20081 (2013.01);
Abstract

One embodiment provides a method for recommending model characteristics to be used in developing a target geo-spatial physical model for a target geographic location utilizing historical lineage data corresponding to historical geo-spatial physical models, including: receiving information related to the target geographic location, wherein the information describes geographical and domain features of the target geographic location; identifying, using at least one similarity algorithm, at least one other geographic location that is similar to the target geographic location, wherein the at least one geographic location has at least one corresponding historical geo-spatial physical model; and recommending, using at least one machine-learning model and based upon the at least one other geographic location, initial model characteristics for developing and deploying the target geo-spatial physical model.


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