Title
Multivariate Pointwise Information-Driven Data Sampling and Visualization.
Abstract
With increasing computing capabilities of modern supercomputers, the size of the data generated from the scientific simulations is growing rapidly. As a result, application scientists need effective data summarization techniques that can reduce large-scale multivariate spatiotemporal data sets while preserving the important data properties so that the reduced data can answer domain-specific queries involving multiple variables with sufficient accuracy. While analyzing complex scientific events, domain experts often analyze and visualize two or more variables together to obtain a better understanding of the characteristics of the data features. Therefore, data summarization techniques are required to analyze multi-variable relationships in detail and then perform data reduction such that the important features involving multiple variables are preserved in the reduced data. To achieve this, in this work, we propose a data sub-sampling algorithm for performing statistical data summarization that leverages pointwise information theoretic measures to quantify the statistical association of data points considering multiple variables and generates a sub-sampled data that preserves the statistical association among multi-variables. Using such reduced sampled data, we show that multivariate feature query and analysis can be done effectively. The efficacy of the proposed multivariate association driven sampling algorithm is presented by applying it on several scientific data sets.
Year
DOI
Venue
2019
10.3390/e21070699
ENTROPY
Keywords
Field
DocType
multivariate sampling,information theory,pointwise mutual information (PMI),total correlation,specific correlation,statistical distributions,data reduction,query-driven visualization
Information theory,Data point,Data mining,Automatic summarization,Mathematical optimization,Data set,Visualization,Multivariate statistics,Total correlation,Mathematics,Pointwise
Journal
Volume
Issue
ISSN
21
7
Entropy, Volume 21, Issue 7, Year 2019
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Soumya Dutta110010.26
Ayan Biswas2213.83
James Ahrens323335.07