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Titlebook: Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications; AVI 2020 Workshops, Thoralf Reis,Marco X. Bornsc

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發(fā)表于 2025-3-21 18:46:58 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications
期刊簡稱AVI 2020 Workshops,
影響因子2023Thoralf Reis,Marco X. Bornschlegl,Matthias L. Hemm
視頻videohttp://file.papertrans.cn/147/146415/146415.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications; AVI 2020 Workshops,  Thoralf Reis,Marco X. Bornsc
影響因子.This book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2020 Workshop on Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020, held in Ischia, Italy, in June 2020, and the Second Italian Workshop on Visualization and Visual Analytics, held in Ischia, Italy, in September 2020...The 14 regular papers in this volume present topics such as big data collection, management and curation; big data analytics; big data interaction and perception; big data insight and effectuation; configuration and management of big data storage and compute infrastructures, services, and tools; advanced visual interaction in big data applications; user empowerment and meta design in big data applications; prediction and automation of big data analysis workflows; as well as data visualization; information visualization; visual analytics; infographics; and design..
Pindex Conference proceedings 2021
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0302-9743 cial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020, held in Ischia, Italy, in June 2020, and the Second Italian Workshop on Visualization and Visual Analytics, held in Ischia, Italy, in September 2020...The 14 regular papers in this volume present topics such as big data co
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Zhiguo Yuan,Jürg Keller,Paul Lant This paper targets to introduce the AI2VIS4BigData Reference Model, its elements and all interconnections between them in very detail. It provides an overview of example reference models, their general history and objectives and introduces the reference models that were utilized to derive AI2VIS4BigData.
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https://doi.org/10.1007/978-3-319-04001-1 diabetes as a chronic disease to help for better understanding of its development and the way to combat it. Although this multidisciplinary collaboration provides only succinct description of these research nodes, relevant references are furnished for further details.
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E. Jane Morris,Jennifer A. Thomsonorithms; the other three components are interactive visualizations that . the important results found by the models, . on results of interest and finally, . the selected results by showing . on the data.
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https://doi.org/10.1007/978-3-319-04001-1es and its relationship to biomedical pipelines. Special focus is put on modern techniques such as deep learning. The results are then discussed again in the context of the AI2VIS4BigData reference model to validate its relevancy in this research area.
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