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:
Jul. 04, 2017

Filed:

Dec. 30, 2014
Applicant:

Ebay Inc., San Jose, CA (US);

Inventors:

Chaitali Gupta, Sunnyvale, CA (US);

Mayank Bansal, San Jose, CA (US);

Tzu-Cheng Chuang, San Jose, CA (US);

Ranjan Sinha, San Jose, CA (US);

Sami Ben-Romdhane, San Jose, CA (US);

Assignee:

eBay Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/26 (2006.01); H04L 12/24 (2006.01); G06N 99/00 (2010.01);
U.S. Cl.
CPC ...
H04L 43/08 (2013.01); H04L 41/0896 (2013.01); H04L 41/142 (2013.01); H04L 41/147 (2013.01); H04L 41/16 (2013.01); G06N 99/005 (2013.01);
Abstract

In an example embodiment, clusters of nodes in a network are monitored. Then the monitored data may be stored in an open time-series database. Data from the open time-series database is collected and labeled it as training data. Then a model is built through machine learning using the training data. Additional data is retrieved from the open time-series database. The additional data is left as unlabeled. Anomalies in the unlabeled data are computed using the model, producing prediction outcomes and metrics. Finally, the prediction outcomes and the network.


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