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:
Feb. 20, 2024

Filed:

Jul. 06, 2022
Applicant:

Dell Products L.p., Round Rock, TX (US);

Inventor:

David Sydow, Merrimack, NH (US);

Assignee:

Dell Products L.P., Round Rock, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 18/2135 (2023.01); G06F 16/35 (2019.01); G06F 40/216 (2020.01); G06F 18/22 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2135 (2023.01); G06F 16/35 (2019.01); G06F 18/22 (2023.01); G06F 40/216 (2020.01);
Abstract

Techniques for grouping system logs using machine learning. The techniques include deriving an input matrix from the logs, in which rows represent the logs and columns represent unique words in the logs. The techniques include applying a TF-IDF algorithm to the input matrix and deriving a TF-IDF matrix from the TF-IDF algorithm output. The TF-IDF matrix reflects how important the unique words are to the respective logs. The techniques include applying a PCA algorithm to the TF-IDF matrix and deriving a PCA matrix having a reduced dimensionality from the PCA algorithm output. The techniques include applying a Cosine Similarity algorithm to the PCA matrix and deriving CS matrices from the CS algorithm output. Each CS matrix reflects the cosine similarity of a respective log relative to all the other logs. The techniques include applying a clustering algorithm to the CS matrices and deriving log groupings from the clustering algorithm output.


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