US 12,242,569 B1
Method and system for process identification using data mining
Forrestt Severtson, Alpharetta, GA (US); Darren Lim, Champaign, IL (US); and Julian Francisco Nieto, Edwardsville, IL (US)
Assigned to STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed by STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed on Nov. 19, 2019, as Appl. No. 16/688,106.
Int. Cl. G06F 18/00 (2023.01); G06F 9/54 (2006.01); G06F 16/28 (2019.01); G06F 18/214 (2023.01); G06F 18/23 (2023.01); G06F 40/126 (2020.01); G06Q 10/10 (2023.01)
CPC G06F 18/2155 (2023.01) [G06F 9/542 (2013.01); G06F 16/285 (2019.01); G06F 18/23 (2023.01); G06F 40/126 (2020.01); G06Q 10/10 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computer implemented method for improving identifying of a process using compact visualizations with memorable characters, comprising:
storing formatted data from a data collection device in an electronic database, wherein the formatted data corresponds to insurance claims data;
generating aggregated event traces by preprocessing the formatted data;
encoding each of the aggregated event traces, wherein each unique event in the aggregated event traces is represented using a respective graphical representation of an atomic word;
generating a subset of aggregated event traces by compressing the aggregated event traces;
clustering each of the subset of aggregated event traces into a respective cluster;
labeling each of the clusters by analyzing the subset of corresponding aggregated event traces; and
displaying a map of the one or more of the aggregated event traces in a linear order, wherein the aggregated event traces include one or more complex data types.