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. 30, 2021

Filed:

Dec. 03, 2019
Applicant:

Dell Products, Lp, Round Rock, TX (US);

Inventors:

Rodrigo F. Mohr, Porto Alegre, BR;

Marcio F. S. Lena, Porto Alegre, BR;

Rodrigo da Rosa Righi, Sao Leopoldo, BR;

Cristiano André da Costa, Porto Alegre, BR;

Luiz Ricardo Bertoldi de Oliveira, Sao Leopoldo, BR;

Assignee:

Dell Products L.P., Round Rock, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/07 (2006.01); G06N 20/10 (2019.01); G06F 11/34 (2006.01);
U.S. Cl.
CPC ...
G06F 11/0793 (2013.01); G06F 11/0727 (2013.01); G06F 11/0748 (2013.01); G06F 11/0754 (2013.01); G06F 11/3452 (2013.01); G06N 20/10 (2019.01);
Abstract

A management server includes linear regression circuitry to receive the data as input data, based on the input data, the linear regression circuitry generates a linear regression line for the input data. Gradient circuitry analyzes angles between two points of data within the input data. In response to a first angle between a first point of data and a second point of data being greater than a threshold angle, the gradient circuitry determines that an interval of data including the first and second points of data is an abrupt interval, removes first data within the abrupt interval from the input data, and updates the linear regression line accordingly. Support vector machine circuitry receives the input data, classifies outliers in the input data, and removes the outliers. The linear regression line is updated based on the removal of the outliers.


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