US 12,014,255 B1
Generating machine learning-based outlier detection models using timestamped event data
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 Jun. 14, 2023, as Appl. No. 18/334,996.
Application 18/334,996 is a continuation of application No. 17/969,538, filed on Oct. 19, 2022, granted, now 11,720,824.
Application 17/969,538 is a continuation of application No. 16/528,478, filed on Jul. 31, 2019, granted, now 11,537,942, issued on Dec. 27, 2022.
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 enabling user identification of timestamped event data to be used to generate an outlier detection model;
generating the outlier detection model based on the timestamped event data obtained via the guided workflow and a parameters configuration determined based on the timestamped event data; and
causing display of a second user interface including a visualization of outlier detection results generated using the outlier detection model, the second user interface including interface elements for modifying the visualization of the outlier detection results.