Invention Grant
- Patent Title: Supervised method for classifying seasonal patterns
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Application No.: US15057060Application Date: 2016-02-29
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Publication No.: US10699211B2Publication Date: 2020-06-30
- Inventor: Dustin Garvey , Uri Shaft , Lik Wong
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Invoke
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N20/00

Abstract:
Techniques are described for classifying seasonal patterns in a time series. In an embodiment, a set of time series data is decomposed to generate a noise signal and a dense signal. Based on the noise signal, a first classification is generated for a plurality of seasonal instances within the set of time series data, where each respective instance of the plurality of instances corresponds to a respective sub-period within the season and the first classification associates a first set of one or more instances from the plurality of instances with a particular class of seasonal pattern. Based on the dense signal, a second classification is generated that associates a second set of one or more instances with the particular class. Based on the first classification and the second classification, a third classification is generated, where the third classification associates a third set of one or more instances with the particular class.
Public/Granted literature
- US20170249562A1 SUPERVISED METHOD FOR CLASSIFYING SEASONAL PATTERNS Public/Granted day:2017-08-31
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