CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data

CoDDA (Copula-based Distribution Driven Analysis) is a flexible framework for large-scale multivariate datasets. A common strategy to deal with large-scale scientific simulation data is to partition the simulation domain and create statistical data summaries. Instead of storing the high-resolution r...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics Jg. 25; H. 1; S. 1214 - 1224
Hauptverfasser:	Hazarika, Subhashis, Dutta, Soumya, Han-Wei Shen, Jen-Ping Chen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Analytical models Chemical industry Computational modeling Computer Science Computer simulation Copula Data models Data reduction Data visualization Datasets Distribution-based Flow simulation Histograms In situ processing Multivariate Multivariate analysis Probability distribution Query-driven Simulation Spatial data Statistical analysis Storage Summaries Task analysis Visualization
ISSN:	1077-2626, 1941-0506, 1941-0506
Online-Zugang:	Volltext
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