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: Lecture Notes in Computer Science, cartea 12585
Editat de Thoralf Reis, Marco X. Bornschlegl, Marco Angelini, Matthias L. Hemmjeen Limba Engleză Paperback – 3 feb 2021
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.
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Specificații
ISBN-13: 9783030680060
ISBN-10: 3030680061
Pagini: 201
Ilustrații: XIV, 201 p. 92 illus., 66 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.31 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
ISBN-10: 3030680061
Pagini: 201
Ilustrații: XIV, 201 p. 92 illus., 66 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.31 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
Cuprins
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.