By Christophe Claramunt, Markus Schneider, Raymond Chi-Wing Wong, Li Xiong, Woong-Kee Loh, Cyrus Shahabi, Ki-Joune Li
This booklet constitutes the refereed court cases 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 provided have been conscientiously reviewed and chosen from sixty four submissions. The convention application has the scope on following topics: reachability question and course question, opposite question and indexing, navigation and routing, trajectory research, spatio-temporal ways, privateness and matching, similarity seek and development, key-phrase and pattern.
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Additional info for Advances in Spatial and Temporal Databases: 14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015. Proceedings
IEEE TKDE 19, 663–678 (2007) 22. : Stripes: an eﬃcient index for predicted trajectories. In: ACM SIGMOD (2004) 23. : Novel approaches in query processing for moving object trajectories. In: 26th VLDB Conference, pp. 395–406 (2000) 24. : Eﬃcient reachability query evaluation in large spatiotemporal contact datasets. PVLDB 5(9), 848–859 (2012) 25. : Characterising temporal distance and reachability in mobile and online social networks. ACM SIGCOMM Comput. Commun. Rev. 40(1), 118–124 (2010) 26. : On-line discovery of ﬂock patterns in spatio-temporal data.
We refer to such networks, which consider more than one cost criterion, as multicriteria networks. In road networks, for example, possible criteria are travel time, distance, toll fees, environmental hazards, or energy consumption. In computer networks, typical cost criteria are bandwidth, rental cost, and current traﬃc. To describe the connections of people in a social graph, telephone calls, mails, meetings are aspects which can be transformed into cost criteria. c Springer International Publishing Switzerland 2015 C.
The smallest query time is achieved when the transitive closure is precomputed (which however requires space that is quadratic on the graph size). Nevertheless, RICC can achieve very good query performance while its index size is relatively small as it can be seen from Table 1(a). This is because instead of transitive closure we precompute reachability for small portions of the graph. 4 Query Processing For the query processing performance evaluation, we ran diﬀerent sets of 300 queries on each of the preprocessed datasets.
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