An extensible interactive 3D visualization framework for N-dimensional datasets used in heterogeneous software display environments

作者: Nathaniel Rossol , Irene Cheng , John Berezowski , Iqbal Jamal

DOI: 10.1007/978-3-642-24028-7_47

关键词:

摘要: Although many automated techniques exist to mine large Ndimensional databases, understanding the results is nontrivial. Data visualization can provide perceptual insights leading of as well raw data itself. A particular application domain where use high-dimensional interactive has proven useful in exploratory analysis disease spread through populations, especially case livestock epidemics. However, designing effective tools for practitioners presents challenges that have not been resolved by traditional frameworks. To address these issues, we introduce a novel system developed conjunction with health surveillance network 3D data. Among key features an XML framework deployment any tool multiple heterogeneous display environments, including stereoscopic displays and mobile devices.

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