US 12,242,976 B2
Big data based predictive graph generation system
Harish Ragavan, W. Windsor, NJ (US); and Srinivasan Shanmugam, Highland Park, NJ (US)
Assigned to Bank of America Corporation, Charlotte, NC (US)
Filed by Bank of America Corporation, Charlotte, NC (US)
Filed on Dec. 19, 2023, as Appl. No. 18/545,290.
Application 18/545,290 is a continuation of application No. 17/952,886, filed on Sep. 26, 2022, granted, now 11,893,501.
Application 17/952,886 is a continuation of application No. 16/933,589, filed on Jul. 20, 2020, granted, now 11,526,771, issued on Dec. 13, 2022.
Application 16/933,589 is a continuation in part of application No. 15/094,636, filed on Apr. 8, 2016, granted, now 10,754,867, issued on Aug. 25, 2020.
Prior Publication US 2024/0119312 A1, Apr. 11, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/901 (2019.01); G06F 16/23 (2019.01); G06F 16/25 (2019.01); G06F 16/904 (2019.01); G06N 5/02 (2023.01); G06Q 10/0635 (2023.01); G06Q 50/00 (2012.01)
CPC G06N 5/02 (2013.01) [G06F 16/2379 (2019.01); G06F 16/258 (2019.01); G06F 16/9024 (2019.01); G06F 16/904 (2019.01); G06Q 10/0635 (2013.01); G06Q 50/01 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a data accumulation server communicatively coupled via a network to a data repository, wherein the data accumulation server comprises
a first processor; and
first non-transitory memory storing first computer-readable instructions that, when executed by the first processor, cause the data accumulation server to:
store, in the data repository, aggregated information received from a plurality of data sources, wherein the plurality of data sources comprises two or more of business computing systems, social media networks, and user devices; and
update, based on a data change event at one or more of the plurality of data sources, the data stored in the data repository into an updated data set; and
a predictive graph processing system comprising:
a second processor;
second non-transitory memory storing second computer-readable instructions that, when executed by the second processor, cause the predictive graph processing system to:
transform, based on a predictive model, information retrieved from the data repository into a predictive graph data set;
predict, based on an indication of the data change event and using the predictive model, a first semantic relationship between a plurality of objects of an updated data set; and
cause display, based on a visualization request, a visualization of the predictive graph data set comprising an indication of the first semantic relationship between the plurality of objects of the updated data set.