Read e-book online Advances in Spatial and Temporal Databases: 10th PDF

By Leong Hou U, Nikos Mamoulis, Man Lung Yiu (auth.), Dimitris Papadias, Donghui Zhang, George Kollios (eds.)

ISBN-10: 3540735399

ISBN-13: 9783540735397

For researchers and pros within the box of databases, this can be a must-read textual content that provides them correct up to the moment details on their field.

Its 479 pages symbolize the refereed lawsuits of the tenth foreign Symposium on Spatial and Temporal Databases, held in Boston, united states in July 2007.

The 26 revised complete papers have been completely reviewed and chosen from a complete of seventy six submissions.

This makes them, primarily, the distilled knowledge of various best researchers and lecturers within the field.

The papers are labeled in several different types, every one similar to a convention consultation. This makes the publication a good established and simple to reference volume.

Topics lined comprise non-stop tracking; indexing and question processing; and mining.

There are papers too that care for aggregation and interpolation; semantics and modeling; and privacy.

Also lined are the most important subject matters reminiscent of uncertainty and approximation; streaming info; dispensed structures; and spatial networks.

This paintings comes with on-line documents in addition to updates.

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Read Online or Download Advances in Spatial and Temporal Databases: 10th International Symposium, SSTD 2007, Boston, MA, USA, July 16-18, 2007. Proceedings PDF

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Extra info for Advances in Spatial and Temporal Databases: 10th International Symposium, SSTD 2007, Boston, MA, USA, July 16-18, 2007. Proceedings

Sample text

Notice that in the check stage, we apply Lemma 1 to decide whether to update the MBRs. For the query whose MBR is not updated, we shrink its MBR by deleting the query id from parts of its cells to further reduce the cost of index maintenance. 1 Experiment Settings The road network of Nova Scotia, Canada, extracted from the GML file in 2005 Road Network File project [19], is used in our experiments. There are 77,084 edges and 58,379 vertices in the road network. The method based on the cellular automata [3] is adopted to simulate the traffic flow on road segments at the beginning of each time slot.

Differing from the previous works, our work considers the environment in which the traffic varies with time and cannot be predicted. Our method, EBM, reduces both the number of re-computations and the search space for reevaluating a query and substantially speeds up the query processing in such a dynamic environment. We design a grid-based index structure to reflect the affecting areas of multiple queries currently running in the system. Moreover, we propose novel techniques for efficient index maintenance with user-specified precision guaranteed.

EKX95a, EKX95b] design FOR. In FOR, dataset P is indexed with an R-tree [G84, BKSS90], and a sample is formed by drawing one data point from each leaf of the R-tree. FOR executes CLARANS on this sample and returns the computed medoids. Focused also on disk-resident data, Mouratidis et al. [MPP] propose TPAQ, a method that solves kmedoid and related problems. TPAQ assumes that P is indexed with an R-tree and exploits its grouping properties to avoid reading the entire dataset, while achieving a low average distance.

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Advances in Spatial and Temporal Databases: 10th International Symposium, SSTD 2007, Boston, MA, USA, July 16-18, 2007. Proceedings by Leong Hou U, Nikos Mamoulis, Man Lung Yiu (auth.), Dimitris Papadias, Donghui Zhang, George Kollios (eds.)


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