February 22, 2017

Advances in Spatial and Temporal Databases: 13th by Shuyao Qi, Panagiotis Bouros, Nikos Mamoulis (auth.), Mario

By Shuyao Qi, Panagiotis Bouros, Nikos Mamoulis (auth.), Mario A. Nascimento, Timos Sellis, Reynold Cheng, Jörg Sander, Yu Zheng, Hans-Peter Kriegel, Matthias Renz, Christian Sengstock (eds.)

This ebook constitutes the refereed lawsuits of the thirteenth foreign Symposium on Spatial and Temporal Databases, SSTD 2013, held in Munich, Germany, in August 2013. The 24 revised complete papers awarded have been conscientiously reviewed and chosen from fifty eight submissions. The papers are prepared in topical sections on joins and algorithms; mining and discovery; indexing; trajectories and street community info; nearest neighbours queries; uncertainty; and demonstrations.

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Extra info for Advances in Spatial and Temporal Databases: 13th International Symposium, SSTD 2013, Munich, Germany, August 21-23, 2013. Proceedings

Example text

Moreover, it is not trivial to generate traffic data in arbitrary spatial regions using existing traffic generators. In this paper, we propose Minnesota Traffic Generator (MNTG); an extensible web-based road network traffic generator that overcomes the hurdles of using existing traffic generators. MNTG does not provide a new way to simulate traffic data. Instead, it serves as a wrapper over existing traffic generators, making them easy to use, configure, and run for any arbitrary spatial road region.

MNTG is extensible in two frontiers: (1) It can be easily extended to support various traffic generators.

We repeat this process for all possible rectangular regions and return the expanded region with maximized statistic as the result of region expansion. An overview of finding regional co-location with arbitrary shape is described in Algorithm 1 and pseudo code of the expansion process is presented in Algorithm 2 . The input to Algorithm 1 is the grid G, grid size n and the spatial proximity distance Dist. The output is an arbitrarily shaped region with maximum statistic. Line 7 expand the current rectangular region and returns a score for the arbitrarily shaped region as expansion result.

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