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Simulation Data Summarization Based on Spatial Histograms
Abstract:In order to analyze large-scale scientific data, research on data exploration and visualization has gained popularity. In this paper, we focus on the exploration and visualization of scientific simulation data, and define a spatial V-Optimal histogram for data summarization. We propose histogram construction algorithms based on a general binary hierarchical partitioning as well as a more specific one, the l-grid partitioning. For effective data summarization and efficient data visualization in scientific data analysis, we propose an optimal algorithm as well as a heuristic algorithm for histogram construction. To verify the effectiveness and efficiency of the proposed methods, we conduct experiments on the massive evacuation simulation data.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2363254Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 296
 S. Acharya, V. Poosala, and S. Ramaswamy. Selectivity estimation in spatial databases. In SIGMOD, pages 13–24, 1999.
 L. Battle, M. Stonebraker, and R. Chang. Dynamic reduction of query result sets for interactive visualizaton. 2013 IEEE International Conference on Big Data, pages 1–8, 2013.
 N. Bruno, S. Chaudhuri, and L. Gravano. STHoles: A multidimensional workload-aware histogram. In SIGMOD, pages 211–222, May 2001.
 H. Ehsan, M. A. Sharaf, and P. K. Chrysanthis. MuVE: Efficient multi-objective view recommendation for visual data exploration. In ICDE, pages 731–742, 2016.
 A. Eldawy and M. F. Mokbel. The era of big spatial data: A survey. Found. Trends databases, 6(3-4):163–273, Dec. 2016.
 V. Hristidis, S. C. Chen, T. Li, S. Luis, and Y. Deng. Survey of data management and analysis in disaster situations. J. Syst. Softw., 83(10):1701–1714, Oct. 2010.
 Y. Ioannidis. The history of histograms (abridged). In VLDB, pages 19–30, 2003.
 H. V. Jagadish, N. Koudas, S. Muthukrishnan, V. Poosala, K. C. Sevcik, and T. Suel. Optimal histograms with quality guarantees. In VLDB, pages 275–286, 1998.
 S. Muthukrishnan, V. Poosala, and T. Suel. On rectangular partitionings in two dimensions: Algorithms, complexity, and applications. In ICDT, pages 236–256, 1999.
 A. Parameswaran, N. Polyzotis, and H. Garcia-Molina. SeeDB: Visualizing database queries efficiently. Proceedings of the VLDB Endowment, 7(4):325–328, 2013.
 V. Poosala and Y. E. Ioannidis. Selectivity estimation without the attribute value independence assumption. In VLDB, pages 486–495, 1997.
 X. Song, Q. Zhang, Y. Sekimoto, R. Shibasaki, N. J. Yuan, and X. Xie. A simulator of human emergency mobility following disasters: Knowledge transfer from big disaster data. In AAAI, pages 730–736, 2015.