公开(公告)号：US11748621B2

公开(公告)日：2023-09-05

申请号：US17982976

申请日：2022-11-08

Applicant: Kyndryl, Inc.

Inventor： Omar Odibat ,  Jean Xu Yu ,  Emrah Zarifoglu ,  Ilyas Mohamed Iyoob

IPC: G06N3/08 ,  H04L67/141 ,  H04L67/10 ,  G06F16/906 ,  G06F16/908 ,  G06N3/045

CPC classification number: G06N3/08 ,  G06F16/906 ,  G06F16/908 ,  G06N3/045 ,  H04L67/10 ,  H04L67/141

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.

公开(公告)号：US11526754B2

公开(公告)日：2022-12-13

申请号：US16785191

申请日：2020-02-07

Applicant: Kyndryl, Inc.

Inventor： Omar Odibat ,  Jean Xu Yu ,  Emrah Zarifoglu ,  Ilyas Mohamed Iyoob

IPC: G06N3/08 ,  H04L67/141 ,  H04L67/10 ,  G06N3/04 ,  G06F16/906 ,  G06F16/908

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.

公开(公告)号：US11868167B2

公开(公告)日：2024-01-09

申请号：US17304591

申请日：2021-06-23

Applicant: Kyndryl, Inc.

Inventor： Keri Wheatley ,  Omar Odibat ,  Shikhar Kwatra ,  Manish Mahesh Modh ,  Ilyas Mohamed Iyoob

IPC: G06F16/00 ,  G06F16/28 ,  G06F16/21

CPC classification number: G06F16/285 ,  G06F16/212

Abstract: According to one embodiment, a method, computer system, and computer program product for provisioning a tag schema. The embodiment may include determining data types for tag-keys within an existing ecosystem of tags. Each tag of the existing ecosystem comprises a tag-key and a tag-value. The embodiment may include performing pairwise clustering of the tags within the ecosystem. The embodiment may include identifying a main tag-key within each cluster of tags. The embodiment may include grouping the clusters into a broader category. The embodiment may include providing a tag schema recommendation for the ecosystem based on the grouped clusters.

公开(公告)号：US20230017358A1

公开(公告)日：2023-01-19

申请号：US17304591

申请日：2021-06-23

Applicant: Kyndryl, Inc.

Inventor： Keri Wheatley ,  Omar Odibat ,  Shikhar Kwatra ,  Manish Mahesh Modh ,  Ilyas Mohamed Iyoob

IPC: G06F16/28 ,  G06F16/21

Abstract: According to one embodiment, a method, computer system, and computer program product for provisioning a tag schema. The embodiment may include determining data types for tag-keys within an existing ecosystem of tags. Each tag of the existing ecosystem comprises a tag-key and a tag-value. The embodiment may include performing pairwise clustering of the tags within the ecosystem. The embodiment may include identifying a main tag-key within each cluster of tags. The embodiment may include grouping the clusters into a broader category. The embodiment may include providing a tag schema recommendation for the ecosystem based on the grouped clusters.