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:
Apr. 08, 2025

Filed:

Nov. 24, 2022
Applicant:

Kinaxis Inc., Ottawa, CA;

Inventors:

Sebastien Ouellet, Ottawa, CA;

Zhen Lin, Ottawa, CA;

Christopher Wang, Ottawa, CA;

Chantal Bisson-Krol, Ottawa, CA;

Assignee:

Kinaxis Inc., Ottawa, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2023.01); G06F 18/20 (2023.01); G06F 18/21 (2023.01); G06F 18/211 (2023.01); G06F 18/22 (2023.01); G06F 18/25 (2023.01); G06N 20/00 (2019.01); G06Q 30/02 (2023.01); G06Q 30/0204 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0205 (2013.01); G06F 18/211 (2023.01); G06F 18/217 (2023.01); G06F 18/22 (2023.01); G06F 18/251 (2023.01); G06F 18/285 (2023.01); G06N 20/00 (2019.01);
Abstract

Systems and methods for features engineering, in which internal and external signals are received and fused. The fusing is based on meta-data of each of the one or more internal signals and each of the one or more external signals. A set of features is generated based on one or more valid combinations that match a transformation input, the transformation forming part of library of transformations. Finally, a set of one or more features is selected from the plurality of features, based on a predictive strength of each feature. The set of selected features can be used to train and select a machine learning model.


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