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:
Apr. 07, 2020

Filed:

May. 30, 2017
Applicant:

Salesforce.com, Inc., San Francisco, CA (US);

Inventors:

Ajay Krishna Borra, Telangana, IN;

Manpreet Singh, Hyderabad, IN;

Assignee:

salesforce.com, inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G04F 1/00 (2006.01); G06N 3/08 (2006.01); G06F 11/30 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 11/3003 (2013.01); G06K 9/6274 (2013.01); G06K 9/6284 (2013.01); G06N 3/0445 (2013.01); G06F 2201/835 (2013.01); G06F 2201/86 (2013.01); G06N 20/10 (2019.01);
Abstract

Systems, device and techniques are disclosed for outlier discovery system selection. A set of time series data including time series data objects may be received. A sample of time series data objects may be extracted from the time series data. The sample of time series data objects may be decomposed into sub-components. Statistical classification may be used to select an outlier discovery system based on the sub-components. A neural network may be used to select an outlier discovery system based on the sub-components. A level of error of the neural network may be determined based on a comparison of the outlier discovery system selection made using statistical classification and the outlier discovery system selection made by the neural network. Weight of the neural network may be updated based on the level of error of the neural network.


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