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

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

ISBN-10: 3319223623

ISBN-13: 9783319223629

ISBN-10: 3319223631

ISBN-13: 9783319223636

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

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

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Read or Download Advances in Spatial and Temporal Databases: 14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015. Proceedings PDF

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

Example text

As a result, during the Table 7. The knnres table used in COLD for RkNN queries, the sample graph G, k = 1 and P = {4, 10, 12} COLD. 5. One-to-many COLD query 1 2 3 4 5 6 7 8 9 SELECT MIN ( n1 . d + n2 . dist ) , UNNEST ( objs ) AS obj FROM ( SELECT UNNEST ( hubs ) AS hub , UNNEST ( dists ) AS d FROM forwcold WHERE v = q ) n1 , objcold n2 WHERE n1 . hub = n2 . 6. RkNN query for COLD 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 SELECT n3 . id2 , n3 . dist FROM /* n3 s u b q u e r y is a m o d i f i e d one - many - query to revcold */ ( SELECT MIN ( n1 .

5 times for the 1600 interval). Further, RICC scales well with the size of the query length. Many-to-Many Queries. , queries with several sources and/or several targets). First we note that Single Source Multitarget Queries have the same performance as one-to-one queries. Let (Os , {OT1 , OT2 }, I) be a query with the set of targets {OT1 , OT2 }. Then the time to answer this query t = max(tQ1 , tQ2 ), and 1 2 NIO = max(NIO , NIO ) (where tQi is the time when and if the target ti was Fast Reachability Query Processing on Large Spatiotemporal Datasets 19 i reached (or the end of query interval otherwise), and NIO is the number I/Os, needed to answer the query (OS , OTi , I)).

Note that in HLDB, we cannot use the combination of (hub, dist) as a primary key, because especially in large scale graphs we will have a lot of distance ties even for k-entries for the same hub. 3. , it has to retrieve |L(q)| rows from forward and k · |L(q)| rows from knntab tables, for a total of (k + 1) · |L(q)| rows retrieved from secondary storage. , for k = 16) that may be serviced by the DB framework and that same table will be used for all kNN queries up to k = kmax. In that case, the HLDB framework will have to retrieve (kmax + 1) · |L(q)| rows for every kNN query regardless of the value of k.

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Advances in Spatial and Temporal Databases: 14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015. Proceedings by Christophe Claramunt, Markus Schneider, Raymond Chi-Wing Wong, Li Xiong, Woong-Kee Loh, Cyrus Shahabi, Ki-Joune Li


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