Systems and methods for analyzing time series data based on event transitions

A method for analyzing time series data to identify an event of interest is provided. The method includes receiving, at a computing device, time series data that includes the event of interest, identifying, using the computing device, a start time of the event of interest and an end time of the even...

Full description

Saved in:
Bibliographic Details
Main Authors Tu, Peter Henry, Chang, Ming-Ching, Kim, Yelin, Chen, Jixu, Lyu, Siwei
Format Patent
LanguageEnglish
Published 17.11.2020
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Online AccessGet full text

Cover

More Information
Summary:A method for analyzing time series data to identify an event of interest is provided. The method includes receiving, at a computing device, time series data that includes the event of interest, identifying, using the computing device, a start time of the event of interest and an end time of the event of interest by modeling at least one transitional pattern in the time series data, and categorizing, using the computing device, the event of interest based on the at least one transitional pattern.
Bibliography:Application Number: US201815964645