Download Advances in Spatial and Temporal Databases: 14th by Christophe Claramunt, Markus Schneider, Raymond Chi-Wing PDF

By Christophe Claramunt, Markus Schneider, Raymond Chi-Wing Wong, Li Xiong, Woong-Kee Loh, Cyrus Shahabi, Ki-Joune Li

This ebook constitutes the refereed complaints of the 14th foreign Symposium on Spatial and Temporal Databases, SSTD 2015, held in Hong Kong, China, in August 2015.

The 24 revised complete papers including eight demos offered have been rigorously reviewed and chosen from sixty four submissions. The convention application has the scope on following topics: reachability question and direction question, opposite question and indexing, navigation and routing, trajectory research, spatio-temporal techniques, privateness and matching, similarity seek and development, key-phrase and pattern.

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Extra resources for Advances in Spatial and Temporal Databases: 14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015. Proceedings

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7933, pp. 18–29. Springer, Heidelberg (2013) COLD. Revisiting Hub Labels on the Database for Large-Scale Graphs 39 16. : Faster batched shortest paths in road networks. In: ATMOS, pp. 52–63 (2011) 17. : Customizable point-of-interest queries in road networks. In: 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2013, Orlando, FL, USA, 5–8 November 2013, pp. 490–493 (2013) 18. : Better bounds for graph bisection. , Ferragina, P. ) ESA 2012. LNCS, vol.

119–128 (2010) 5. : Indexing spatio-temporal trajectories with chebyshev polynomials. In: ACM SIGMOD, pp. V. J. Tsotras 6. : St2b-tree: a self-tunable spatiotemporal b+-tree index for moving objects. In: ACM SIGMOD, pp. 29–42 (2008) 7. : Reachability and distance queries via 2-hop labels. SIAM J. Comput. 32(5), 1338–1355 (2003) 8. : Indexing the trajectories of moving objects in networks. Geoinformatica 9(1), 33–60 (2005) 9. : Route planning with flexible edge restrictions. ACM J. Exp. Algorithms 17(1), 1–20 (2012) 10.

0 2 ... 0 1 7 ... Table 3. The forwcold table used for COLD for the sample graph G v hubs dists ... ... 2 {0, 2} {1, 0} ... ... 7 {0, 1, 7} {2, 1, 0} ... ... dist ... 1 0 ... 2 1 0 ... 2. 1. V2v query for HLDB 1 2 3 4 5 SELECT MIN ( n1 . dist + n2 . dist ) FROM forward n1 , forward n2 WHERE n1 . v = s AND n2 . v = t AND n1 . hub = n2 . hub ; 27 1 2 3 4 5 6 7 8 9 SELECT MIN ( n1 . d + n2 . d ) FROM /* Expand hubs , dists arrays */ ( SELECT UNNEST ( hubs ) AS hub , UNNEST ( dists ) AS d FROM forwcold WHERE v = s ) n1 , ( SELECT UNNEST ( hubs ) AS hub , UNNEST ( dists ) AS d FROM forwcold WHERE v = t ) n2 WHERE n1 .

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