US 12,111,874 B1
Exploratory data analysis system for automated generation of search queries using machine learning techniques to identify certain log fields and correlation thereof
Francis Beckert, Mountain View, CA (US); Kristal Curtis, San Francisco, CA (US); Om Rajyaguru, Durham, NC (US); Abraham Starosta, Boston, MA (US); and Poonam Yadav, San Francisco, CA (US)
Assigned to Splunk Inc., San Francisco, CA (US)
Filed by SPLUNK Inc., San Francisco, CA (US)
Filed on Dec. 28, 2022, as Appl. No. 18/147,641.
Int. Cl. G06F 16/9535 (2019.01); G06F 16/2457 (2019.01); G06F 16/248 (2019.01)
CPC G06F 16/9535 (2019.01) [G06F 16/24578 (2019.01); G06F 16/248 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computerized method comprising:
obtaining event data including a plurality of events;
determining a set of fields present in events comprising the plurality of events;
determining a mutual information score for a plurality of fields included within the set of fields, wherein the mutual information score for the plurality of fields identifies a level of diversity between values included in the plurality of fields;
causing display of a user interface that illustrates at least a portion of the mutual information score for the plurality of fields;
receiving user input through the user interface indicating selection of a first field of the plurality of fields of the set of fields; and
importing the selected first field into a predetermined search query template thereby generating a tailored search query.