US 11,941,020 B2
Displaying query results using machine learning model-determined query results visualizations
Tamir Mitelman, Yehud (IL)
Assigned to Micro Focus LLC, Santa Clara, CA (US)
Filed by MICRO FOCUS LLC, Santa Clara, CA (US)
Filed on Feb. 26, 2021, as Appl. No. 17/186,769.
Prior Publication US 2022/0277019 A1, Sep. 1, 2022
Int. Cl. G06F 17/00 (2019.01); G06F 7/00 (2006.01); G06F 16/2453 (2019.01); G06F 16/2457 (2019.01); G06F 16/26 (2019.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01)
CPC G06F 16/26 (2019.01) [G06F 16/24535 (2019.01); G06F 16/24578 (2019.01); G06F 18/2148 (2023.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A non-transitory computer-readable data storage medium storing program code executable by a processor to perform processing comprising:
receiving a query comprising a plurality of sub-queries separated by logical operators, each sub-query comprising a field name and a data value interrelated to one another by a relational operator;
converting the query into a structured query tokenization such that that the data value of each sub-query is replaced by a data type of the data value and the relational operator of each sub-query is removed;
determining one or more query results visualizations for the query by applying a supervised machine learning model to the structured query tokenization to improve how query results of the query are visualized, each query results visualization comprising a graphical representation of which the query results of the query are displayed using graphical elements;
generating the query results of the query by executing the query without using the structured query tokenization into which the query has been converted such that the structured query tokenization is used just for determining the query results visualizations; and
displaying query results of the query using the determined query results visualizations.