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:
Mar. 17, 2020

Filed:

Mar. 22, 2016
Applicant:

British Telecommunications Public Limited Company, London, GB;

Inventors:

Benham Azvine, London, GB;

Trevor Martin, London, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01); G06N 20/00 (2019.01); G06F 16/22 (2019.01); G06F 16/2458 (2019.01); G06F 11/30 (2006.01); G06Q 30/02 (2012.01); G06Q 10/06 (2012.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 11/3072 (2013.01); G06F 16/22 (2019.01); G06F 16/2468 (2019.01); G06N 20/00 (2019.01); G06Q 10/06 (2013.01); G06Q 10/063 (2013.01); G06Q 10/067 (2013.01); G06Q 30/02 (2013.01);
Abstract

A method for partitioning a plurality of entities each associated with a plurality of ordered sequences of events received by a computer system, the method including: defining a minimal directed acyclic graph data structure representing the sequences of events to define a plurality of categories of behavior of the entities; defining a threshold degree of similarity as an xmu number, the xmu number having cardinality that is able to vary across a normalized range; defining a relation for each entity including a degree of association of the entity with each of the categories; defining a cluster of entities as a set of entities comprising a first entity; comparing a relation for the first entity with a relation for a second entity to define a xmu Jaccard similarity coefficient for the first and second entities; and responsive to the coefficient meeting the threshold degree of similarity, adding the second entity to the cluster.


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Azvine, Benham. (2020). Anomaly detection by multi-level tolerance relations (U.S. Patent No. 10592516). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10592516

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