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Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications = AVI 2020 Workshops, AVI-BDA and ITAVIS, Ischia, Italy, June 9, 2020 and September 29, 2020, Revised Selected Papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications/ edited by Thoralf Reis, Marco X. Bornschlegl, Marco Angelini, Matthias L. Hemmje.
其他題名:	AVI 2020 Workshops, AVI-BDA and ITAVIS, Ischia, Italy, June 9, 2020 and September 29, 2020, Revised Selected Papers /
其他作者:	Hemmje, Matthias L.
面頁冊數:	XIV, 201 p. 92 illus., 66 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	User Interfaces and Human Computer Interaction. -
電子資源:	https://doi.org/10.1007/978-3-030-68007-7
ISBN:	9783030680077

Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications = AVI 2020 Workshops, AVI-BDA and ITAVIS, Ischia, Italy, June 9, 2020 and September 29, 2020, Revised Selected Papers /
Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data ApplicationsAVI 2020 Workshops, AVI-BDA and ITAVIS, Ischia, Italy, June 9, 2020 and September 29, 2020, Revised Selected Papers /[electronic resource] :edited by Thoralf Reis, Marco X. Bornschlegl, Marco Angelini, Matthias L. Hemmje. - 1st ed. 2021. - XIV, 201 p. 92 illus., 66 illus. in color.online resource. - Information Systems and Applications, incl. Internet/Web, and HCI ;12585. - Information Systems and Applications, incl. Internet/Web, and HCI ;9149.

AI2VIS4BigData: A Reference Model for AI-Based Big Data Analysis and Visualization -- A Visual Analytics Technique to Compare the Performance of Predictive Models -- A ective Analytics and Visualization for Ensemble Event-Driven Stock Market Forecasting -- Understanding the Role of (Advanced) Machine Learning in Metagenomic Workflows -- Intelligent Advanced User Interfaces for Monitoring Mental Health Wellbeing -- Towards Explainable Artificial Intelligence and Explanation User Interfaces to Open the 'Black Box' of Automated ECG Interpretation -- Recognition and Visualization of Facial Expression and Emotion in Healthcare -- Machine Learning in Healthcare: Breast Cancer and Diabetes Cases -- AI2VIS4BigData: Qualitative Evaluation of an AI-based Big Data Analysis and Visualization Reference Model -- Progressive Visualization of Epidemiological Models for COVID-19 Visual Analysis -- An Experience on Cooperative Development of Interactive Visualizations for the Analysis of Urban Data -- Explaining AI Through Critical Reflection Artifacts on the Role of Communication Design Within XAI -- Information Visualization and Visual Analytics at IVU Lab -- Visual Analytics for Financial Crime Detection at the University of Perugia. .

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.

ISBN: 9783030680077

Standard No.: 10.1007/978-3-030-68007-7doiSubjects--Topical Terms:

669793
User Interfaces and Human Computer Interaction.

LC Class. No.: QA76.9.U83

Dewey Class. No.: 005.437

Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications = AVI 2020 Workshops, AVI-BDA and ITAVIS, Ischia, Italy, June 9, 2020 and September 29, 2020, Revised Selected Papers /
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