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Titlebook: Advanced Visual Interfaces. Supporting Big Data Applications; AVI 2016 Workshop, A Marco X. Bornschlegl,Felix C. Engel,Matthias L. He Confe

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A Meta-design Approach to Support Information Access and Manipulation in Virtual Research Environmerker data. With a small example from maize breeding, we present how the models can be applied to predict the risk of genetically diverse individuals to be damaged by insects and why predictions based on whole-genome marker profiles are likely to be more accurate than those based on pedigree informat
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Qualitative Evaluation of an Information Visualization Reference Model Supporting Big Data Analysi interdependence. For example, both cancer and noncancer health risks are examined for a variety of situations that exist within society. The public‘s perception of risks and the correlation between that perception and the acceptance or nonacceptance of certain risks is also addressed. In addition, the progre978-1-4899-0732-5978-1-4899-0730-1
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Anther Culture and Production of Haploids, to maintain a permanent consistent state between data sources and derived IVIS-products. Particularly, a Mediator-Wrapper architecture is used in order to semantically integrate heterogeneous data sources in Big Data scenarios. Note that this paper presents a theoretical approach and that validatio
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Tarun K. Ghose,Purnendu Ghosh,J. S. Virdiig Data analysis results to support insight and emerging knowledge generation..After deriving the IVIS4BigData Model, the necessity to evaluate the appropriateness of this reference model existed. In this context, a full day workshop on Road Mapping Infrastructures for Advanced Visual Interfaces Sup
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Traditional Chinese Biotechnology,nalysis in virtual labs to be used in e-Science, industrial research, and Data Science education. The paper introduces and motivates the current situation in this application area as a basis for a corresponding problem statement that is utilized to derive goals and objectives of the approach. Furthe
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Branched-Chain Higher Alcohols,al resource and array layout enhances understanding of in-stream tidal behaviour leading to improvements in site identification and optimal positioning of individual turbines. A realistic representation of blade loading conditions will aid designers and manufacturers in creating more robust devices
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