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:
Nov. 12, 2024

Filed:

May. 09, 2022
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Milos Vasic, Zurchi, CH;

Saeid Allahdadian, Vancouver, CA;

Matteo Casserini, Zurich, CH;

Felix Schmidt, Baden-Dattwil, CH;

Andrew Brownsword, Vancover, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06N 20/20 (2019.01);
Abstract

Techniques for implementing a semi-supervised framework for purpose-oriented anomaly detection are provided. In one technique, a data item in inputted into an unsupervised anomaly detection model, which generates first output. Based on the first output, it is determined whether the data item represents an anomaly. In response to determining that the data item represents an anomaly, the data item is inputted into a supervised classification model, which generates second output that indicates whether the data item is unknown. In response to determining that the data item is unknown, a training instance is generated based on the data item. The supervised classification model is updated based on the training instance.


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