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

resilience

0302-9743 resented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on joins and algorithms; mining and discovery; indexing; trajectories and road network data; nearest neighbours queries; uncertainty; and demonstrations.978-3-642-40234-0978-3-642-40235-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Junyong Park,Yong-Hyuk Moon,Yong-Ju Leeb-trajectory cliques. Since mining all sub-trajectory cliques is NP-Complete, we proposed two approximate algorithms based on the . algorithm. Empirical results showed that our algorithms can run fast and their results are intuitive.

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0302-9743 f the 13th International Symposium on Spatial and Temporal Databases, SSTD 2013, held in Munich, Germany, in August 2013. The 24 revised full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on joins and algorithms; mining and di

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Efficient Top-, Spatial Distance Joinsg top-. join computation by accessing a limited number of objects. Extensive experiments demonstrate that a technique which accesses blocks of data from . and . ordered by the object scores and then joins them using an aR-tree based module performs best in practice and outperforms alternative solutions by a wide margin.

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Conference proceedings 2013ny, in August 2013. The 24 revised full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on joins and algorithms; mining and discovery; indexing; trajectories and road network data; nearest neighbours queries; uncertainty; and de

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