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.
Patent No.:
Date of Patent:
Oct. 26, 2021
Filed:
Aug. 02, 2019
Sas Institute Inc., Cary, NC (US);
Yue Qi, Shanghai, CN;
Jeffrey Todd Miller, Jr., Raleigh, NC (US);
Thomas Francis Mutdosch, Raleigh, NC (US);
Rory David Ness MacKenzie, Fenwick, GB;
Iain Douglas Jackson, Glasgow, GB;
Peter Rowland Eastwood, Cary, NC (US);
Ryan Gillespie, Raleigh, NC (US);
Adam Michael Ames, Holly Springs, NC (US);
Andrew John Knotts, Glasgow, GB;
Robert Wayne Thompson, Cary, NC (US);
SAS INSTITUTE INC., Cary, NC (US);
Abstract
A system can obtain observations from a dataset. The system can generate a set of training partitions based on the observations and generate an ensemble of machine-learning models based on the set of training partitions. The system can then receive new data and detect whether the new data is indicative of the event using the ensemble. In some cases, the system can update the ensemble by providing the new data as input to an unsupervised machine-learning model that is separate from the ensemble of machine-learning models; receiving an output from the unsupervised machine-learning model indicating whether or not the new data is indicative of the event; incorporating a new observation into the dataset indicating whether or not the new data is indicative of the event based on the output from the unsupervised machine-learning model; and updating the ensemble based on the dataset with the new observation.