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:
Jun. 28, 2022

Filed:

Mar. 06, 2020
Applicant:

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

Inventors:

Gary I Givental, Bloomfield Hills, MI (US);

Aankur Bhatia, Bethpage, NY (US);

Lu An, Raleigh, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06N 20/20 (2019.01); G06F 16/215 (2019.01); G06N 5/04 (2006.01); G06Q 10/10 (2012.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 16/215 (2019.01); G06N 5/04 (2013.01); G06N 20/20 (2019.01); G06Q 10/10 (2013.01);
Abstract

Mechanisms are provided to implement a hybrid machine learning (ML) anomaly detector comprising an ensemble of unsupervised ML models and a semi-supervised ML model. The ensemble of unsupervised ML models are executed on log data to generate, for each entry in the log data, a predicted anomaly score and corresponding anomaly classification label of the entry. A partially labeled dataset is generated based on a selected subset of entries and other unlabeled log data in the log data. A similarity analysis of the unlabeled log data with entries in the selected subset of entries is performed and anomaly classification labels of the selected subset of entries are propagated to the other unlabeled log data based on the similarity analysis.


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