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:
Sep. 09, 2025

Filed:

May. 11, 2021
Applicant:

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

Inventors:

Dakuo Wang, Cambridge, MA (US);

Udayan Khurana, White Plains, NY (US);

Daniel Karl I. Weidele, Cambridge, MA (US);

Arunima Chaudhary, Boston, MA (US);

Carolina Maria Spina, Olavarria, AR;

Abel Valente, Villa Elisa, AR;

Chuang Gan, Cambridge, MA (US);

Horst Cornelius Samulowitz, Armonk, NY (US);

Lisa Amini, Weston, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/022 (2023.01); G06F 18/211 (2023.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 5/022 (2013.01); G06F 18/211 (2023.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01);
Abstract

A dataset including features and values associated with the features can be received. Each of the features in the dataset can be mapped to a corresponding node in a knowledge graph based on the concept represented by the corresponding node. The knowledge graph can be traversed to find a candidate node connected to at least one mapped node, the candidate node not being mapped to a feature in the dataset. A concept associated with the candidate node can be identified as a new feature. A machine learning model pipeline can use the features in the dataset and the new feature to select a subset of features for training a machine learning model.


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