Patent · US Active

Feature generation for asset classification

US11526754B2 · kind B2 · utility

3Cited by

1References

25Claims

0Family size

Assignee

Kyndryl, Inc. · US

Inventors

Omar Odibat · Cedar Park, US
Jean X. Yu · Austin, US
Emrah Zarifoglu · Foster City, US
Ilyas Iyoob · Austin, US

Key dates

Filing date	Feb 7, 2020
Grant date	Dec 13, 2022
Priority date	—
Expiry date	Jul 2, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N7/01
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

An embodiment includes generating an input document that includes a plurality of text fields of attribute data. The embodiment also includes extracting a set of candidate features from the attribute data using a feature extraction module that evaluates the attribute data using first and second machine learning models, where the first machine learning model scores terms in the input document and the second machine learning model includes a deep learning model. The embodiment also includes calculating feature-selection values for respective features of the set of candidate features and generating tag information for a remote computing asset using a machine learning classifier that predicts the tag information based on the feature-selection values.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.