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1
Spatiotemporal prediction of foot traffic:
, In:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising
,
Islam, Samiul
;
Gandhi, Dhruv
;
Elarde, Justin
... - p. 1-8 , 2021
Link:
https://dl.acm.org/doi/10.1145/3486183.3490997
RT T1 <cTitle>Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising</cTitle>: T1 <Title>Spatiotemporal prediction of foot traffic</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3490997&Exemplar=1&LAN=DE A1 Islam, Samiul A1 Gandhi, Dhruv A1 Elarde, Justin A1 Anderson, Taylor A1 Roess, Amira A1 Leslie, Timothy F. A1 Kavak, Hamdi A1 Züfle, Andreas PB ACM YR 2021 K1 foot traffic K1 human mobility K1 location prediction K1 next POI prediction K1 spatiotemporal prediction K1 visitor prediction K1 Information systems K1 Information systems applications K1 Spatial-temporal systems K1 Geographic information systems SP 1 OP 8 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3486183.3490997 DO https://dl.acm.org/doi/10.1145/3486183.3490997 SF ELIB - SuUB Bremen
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