Abstract
The present disclosure includes a method that comprises of determining an entity identifier and a geographic location identifier. The method further includes forming an article identifier using the entity identifier and the geographic location identifier. The articles pertaining to the entity identifier and the geographic location identifier can be grouped. The articles can then be stored in an article database that is indexed to the entity identifier and the geographic location identifier. A suspicious entity in a graph database can be identified. Entities associated with the suspicious entity can be identified using the graph database. The method can then include retrieving articles from the article database associated with the suspicious entity and the determined entities to determine if the suspicious entity is engaged in fraudulent activity.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Saha, Partha; Huang, Roger; Deshpande, Hemant; Lal, Sumit; Hamilton, Sam; and Mukherjee, Suman, "USE OF GRAPH DATABASES TO DETECT ILLEGITIMATE MONEY TRANSFERS", Technical Disclosure Commons, (March 30, 2023)
https://www.tdcommons.org/dpubs_series/5769