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1 Ergebnisse
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A novel similarity measure for multiple aspect trajectory c..:
, In:
Proceedings of the 36th Annual ACM Symposium on Applied Computing
,
Varlamis, Iraklis
;
Sardianos, Christos
;
Bogorny, Vania
... - p. 551-558 , 2021
Link:
https://dl.acm.org/doi/10.1145/3412841.3441935
RT T1 <cTitle>Proceedings of the 36th Annual ACM Symposium on Applied Computing</cTitle>: T1 <Title>A novel similarity measure for multiple aspect trajectory clustering</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3441935&Exemplar=1&LAN=DE A1 Varlamis, Iraklis A1 Sardianos, Christos A1 Bogorny, Vania A1 Alvares, Luis Otavio A1 Carvalho, Jônata Tyska A1 Renso, Chiara A1 Perego, Raffaele A1 Violos, John PB ACM YR 2021 K1 multi-aspect trajectories K1 semantic trajectories K1 trajectory clustering K1 trajectory similarity K1 Information systems K1 Information systems applications K1 Spatial-temporal systems K1 Geographic information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Clustering and classification K1 Retrieval models and ranking K1 Similarity measures SP 551 OP 558 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3412841.3441935 DO https://dl.acm.org/doi/10.1145/3412841.3441935 SF ELIB - SuUB Bremen
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