US 11,729,074 B1
Online data decomposition
Abhinav Mishra, San Francisco, CA (US); and Ram Sriharsha, San Francisco, CA (US)
Assigned to Splunk Inc., San Francisco, CA (US)
Filed by SPLUNK Inc., San Francisco, CA (US)
Filed on Oct. 13, 2020, as Appl. No. 17/69,693.
Claims priority of provisional application 63/064,344, filed on Aug. 11, 2020.
Int. Cl. H04L 43/067 (2022.01); H04L 43/022 (2022.01); H04L 43/062 (2022.01); H04L 43/04 (2022.01)
CPC H04L 43/067 (2013.01) [H04L 43/022 (2013.01); H04L 43/04 (2013.01); H04L 43/062 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
obtaining an incoming data point of a time series data set, the incoming data point comprising a most recently observed data point;
obtaining a particular set of previous data points of the time series data set and corresponding data components, wherein each of the previous data points were observed prior to the most recently observed data point and were previously decomposed into the data components;
performing an iterative process of estimating trend and seasonality to decompose the incoming data point to a set of data components based on the particular set of previous data points of the time series data set and the corresponding data components, wherein the set of data components for the incoming data point comprises a trend component, a seasonality component, and a residual component; and
providing the set of data components for analysis of the incoming data point.