Leveraging Geolocation Data to Flag Suspicious Actors
dc.contributor.author | Roof, Jonathan | en |
dc.contributor.author | D'Anna, Joey | en |
dc.contributor.author | Pol, Luis | en |
dc.contributor.author | Ait Taleb Ali, Mouad | en |
dc.contributor.author | Tunks, Brad | en |
dc.date.accessioned | 2023-05-07T13:37:45Z | en |
dc.date.available | 2023-05-07T13:37:45Z | en |
dc.date.created | 2023-05-06 | en |
dc.date.issued | 2023-05-06 | en |
dc.description.abstract | A brief video outlining our project on utilizing geospatial data from mobile devices with machine learning to flag nefarious actors. Dataset is focused in Beijing, China. | en |
dc.identifier.uri | http://hdl.handle.net/10919/114951 | en |
dc.language.iso | en | en |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
dc.title | Leveraging Geolocation Data to Flag Suspicious Actors | en |
dc.type | Video | en |
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