Patent · US Active

Method and system for adaptively removing outliers from data used in training of predictive models

US11308049B2 · kind B2 · utility

1Cited by

53References

19Claims

0Family size

Assignee

Oracle International Corporation · US

Inventors

Yaser I. Suleiman · Santa Clara, US
Michael Zoll · Foster City, US
Subhransu Basu · Fremont, US
Angelo Pruscino · Los Angeles, US
Wolfgang Lohwasser · Munich, DE
Wataru Miyoshi · Redwood City, US
Thomas Breidt · Munich, DE
Thomas Herter · Santa Clara, US
Klaus Thielen · Munich, DE
Sahil Kumar · Redwood City, US

Key dates

Filing date	Sep 18, 2017
Grant date	Apr 19, 2022
Priority date	—
Expiry date	Sep 8, 2039

Classification

Technology area (CPC H)Electricity
CPC primaryH04L43/02
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Described is an improved approach to remove data outliers by filtering out data correlated to detrimental events within a system. One or more detrimental even conditions are defined to identify and handle abnormal transient states from collected data for a monitored system.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.