US 11,720,824 B1
Visualizing outliers from timestamped event data using machine learning-based models
Iryna Vogler-Ivashchanka, Los Altos, CA (US); and Iman Makaremi, North Vancouver (CA)
Assigned to Splunk Inc., San Francisco, CA (US)
Filed by Splunk Inc., San Francisco, CA (US)
Filed on Oct. 19, 2022, as Appl. No. 17/969,538.
Application 17/969,538 is a continuation of application No. 16/528,478, filed on Jul. 31, 2019, granted, now 11,537,942.
Int. Cl. G06N 20/00 (2019.01); G06F 16/9038 (2019.01); G06F 17/18 (2006.01)
CPC G06N 20/00 (2019.01) [G06F 16/9038 (2019.01); G06F 17/18 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
causing display of a guided workflow, wherein the guided workflow includes: a first user interface component enabling user identification of timestamped event data to be used to generate an outlier detection model, and a second user interface component enabling user indication of parameter information related to the outlier detection model;
generating the outlier detection model based on the timestamped event data and the parameter information related to the outlier detection model obtained via the guided workflow; and
causing display of a visualization of outlier detection results generated using the outlier detection model.