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» Querying the future of spatio-temporal objects
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ICDE
2005
IEEE
107views Database» more  ICDE 2005»
14 years 9 months ago
Venn Sampling: A Novel Prediction Technique for Moving Objects
Given a region qR and a future timestamp qT, a "range aggregate" query estimates the number of objects expected to appear in qR at time qT. Currently the only methods fo...
Yufei Tao, Dimitris Papadias, Jian Zhai, Qing Li
PVLDB
2008
111views more  PVLDB 2008»
13 years 8 months ago
A benchmark for evaluating moving object indexes
Progress in science and engineering relies on the ability to measure, reliably and in detail, pertinent properties of artifacts under design. Progress in the area of database-inde...
Su Chen, Christian S. Jensen, Dan Lin
GEOINFORMATICA
2007
223views more  GEOINFORMATICA 2007»
13 years 8 months ago
Algorithms for Nearest Neighbor Search on Moving Object Trajectories
Nearest Neighbor (NN) search has been in the core of spatial and spatiotemporal database research during the last decade. The literature on NN query processing algorithms so far d...
Elias Frentzos, Kostas Gratsias, Nikos Pelekis, Ya...
CVDB
2004
ACM
14 years 1 months ago
Nearest Neighbor Search on Multimedia Indexing Structures
Nearest Neighbor Search on Multimedia Indexing Structures Multimedia databases get larger and larger in our days, and this trend is expected to continue in the future. There are v...
Thomas Seidl
SIGMOD
2000
ACM
120views Database» more  SIGMOD 2000»
14 years 24 days ago
Indexing the Positions of Continuously Moving Objects
The coming years will witness dramatic advances in wireless communications as well as positioning technologies. As a result, tracking the changing positions of objects capable of ...
Simonas Saltenis, Christian S. Jensen, Scott T. Le...