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Titlebook: Spatial and Temporal Databases; 13th International S Mario A. Nascimento,Timos Sellis,Christian Sengsto Conference proceedings 2013 Springe

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Computer Vision – ECCV 2020 Workshopser ., the top-. spatial distance join (.) returns the . pairs of objects, which have the highest combined score (based on an aggregate function .) among all object pairs in .×. which have spatial distance at most .. Despite the practical application value of this query, it has not received adequate
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https://doi.org/10.1007/978-3-030-65414-6imity of certain type of pollution. This paper studies the problem of regional co-locations with arbitrary shapes. Regional co-locations represent regions in which two spatial features exhibit stronger or weaker co-location than that in other regions. Finding regional co-locations of arbitrary shape
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Lecture Notes in Computer Sciencece areas that meet service center capacities and minimize the sum of the distances (min-sum) from graph-nodes to allotted service centers. The CCNVD problem is important for critical societal applications such as assigning evacuees to shelters and assigning patients to hospitals. This problem is NP-
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Computer Vision – ECCV 2020 Workshopsedict routes actually being selected by real drivers, trajectory mining techniques predict routes based on observations rather than calculated paths. Most approaches to this task build statistical models for the likelihood that a user travels along certain segments of a road network. However, these
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Alfred Laugros,Alice Caplier,Matthieu Ospicifinding traffic-aware fastest paths (TAFP query) in spatial networks by considering the related traffic conditions. Given a sequence of user specified intended places .. and a departure time ., TAFP finds the fastest path connecting .. in order to guarantee that moving objects (e.g., travelers and b
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