@article{(Open Science Index):https://publications.waset.org/pdf/10009884,
	  title     = {Simulation Data Summarization Based on Spatial Histograms},
	  author    = {Jing Zhao and  Yoshiharu Ishikawa and  Chuan Xiao and  Kento Sugiura},
	  country	= {},
	  institution	= {},
	  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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {12},
	  number    = {12},
	  year      = {2018},
	  pages     = {1064 - 1070},
	  ee        = {https://publications.waset.org/pdf/10009884},
	  url   	= {https://publications.waset.org/vol/144},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 144, 2018},
	}