2021 25th International Conference Information Visualisation (IV). PDF Download

Author:
Publisher:
ISBN: 9781665438278
Category :
Languages : en
Pages :

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Author: Boris Kovalerchuk
Publisher: Springer Nature
ISBN: 3030931196
Category : Technology & Engineering
Languages : en
Pages : 671

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Book Description
This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering "n-D glasses," where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain. This book is a collection of 25 extended works of over 70 scholars presented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations. The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.

Author: Boris Kovalerchuk
Publisher: Springer Nature
ISBN: 3031465490
Category : Artificial intelligence
Languages : en
Pages : 512

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Zusammenfassung: This book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields. Artificial Intelligence and Machine Learning face long-standing challenges of explainability and interpretability that underpin trust. Such attributes are fundamental to both decision-making and knowledge discovery. Models are approximations and, at best, interpretations of reality that are transposed to algorithmic form. A visual explanation paradigm is critically important to address such challenges, as current studies demonstrate in salience analysis in deep learning for images and texts. Visualization means are generally effective for discovering and explaining high-dimensional patterns in all high-dimensional data, while preserving data properties and relations in visualizations is challenging. Recent developments, such as in General Line Coordinates, open new opportunities to address such challenges. This book contains extended papers presented in 2021 and 2022 at the International Conference on Information Visualization (IV) on AI and Visual Analytics, with 18 chapters from international collaborators. The book builds on the previous volume, published in 2022 in the Studies in Computational Intelligence. The current book focuses on the following themes: knowledge discovery with lossless visualizations, AI/ML through visual knowledge discovery with visual analytics case studies application, and visual knowledge discovery in text mining and natural language processing. The intended audience for this collection includes but is not limited to developers of emerging AI/machine learning and visualization applications, scientists, practitioners, and research students. It has multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery, visual analytics, and text and natural language processing. The book provides case examples for future directions in this domain. New researchers find inspiration to join the profession of the field of AI/machine learning through a visualization lens.

Author: Gabriella Casalino
Publisher: Springer Nature
ISBN: 3030960609
Category : Education
Languages : en
Pages : 385

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This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Higher Education Learning Methodologies and Technologies Online, HELMeTO 2021, held in Pisa, Italy, in September 2021. Due to the COVID-19 pandemic the conference was held online. The 26 revised full papers and 3 short papers presented were carefully reviewed and selected from a total of 65 submissions. The papers present recent research on challenges of implementing emerging technology solution for online, online learning pedagogical frameworks, facing COVID19 emergency in higher education teaching and learning, online learning technologies in practice, online learning strategies and resources, etc.

Author: Boris Goldengorin
Publisher: Springer Nature
ISBN: 3031316541
Category : Computers
Languages : en
Pages : 447

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This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites—such as large gathering places—through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with automated methods to analyze patterns and models for various types of data, with applications ranging from scientific discovery to business intelligence and analytics. The book primarily includes exploratory data analysis, pattern mining, clustering, and classification supported by real life case studies. The statistical section of this book explores the impact of data mining and modeling on the predictability assessment of time series. Further new notions of mean values based on ideas of multi-criteria optimization are compared with their conventional definitions, leading to new algorithmic approaches to the calculation of the suggested new means. The style of the written chapters and the provision of a broad yet in-depth overview of data mining, integrating novel concepts from machine learning and statistics, make the book accessible to upper level undergraduate and graduate students in data mining courses. Students and professionals specializing in computer and management science, data mining for high-dimensional data, complex graphs and networks will benefit from the cutting-edge ideas and practically motivated case studies in this book.

Author: IEEE Staff
Publisher:
ISBN: 9781665438285
Category :
Languages : en
Pages :

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IV2021 The subject matter does correspond to the IEEE Computer Society s fields of interest, more specifically within the area of Computer Information Visualisation, Big Data and Business Intelligence The theme covers the following areas I 6 9 c Information visualization Information Visualisation Theory & Practice Applications of Information Visualization H 2 8 c Data and knowledge visualization Glyphs Shapes, Icons, Text and Imagery in Visualization Information Visualization Evaluation Visual Analytics Social media analytics GeoVisual Analytics Knowledge Visualization and Visual Thinking Advances in Interactive and Visual Data Clustering Visualisation in Business Intelligence and Open Data Knowledge Domain Visualisation Open Source Intelligence and Web Mining Web Visualization Co operative Design Visualisation Human Computer Interaction for Information Visualization Visualising network & Graph Theory Digital Humanities Knowledge Visualisation I 6 Simulation, Modeling,

Author: Triwiyanto Triwiyanto
Publisher: Springer Nature
ISBN: 981971463X
Category :
Languages : en
Pages : 690

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Author: Xin-She Yang
Publisher: Springer Nature
ISBN: 9811916071
Category : Technology & Engineering
Languages : en
Pages : 910

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Book Description
This book gathers selected high-quality research papers presented at the Seventh International Congress on Information and Communication Technology, held at Brunel University, London, on February 21–24, 2022. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.

Author: Pierpaolo Limone
Publisher: Springer Nature
ISBN: 3031158458
Category : Computers
Languages : en
Pages : 154

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This open access book constitutes the refereed proceedings of 1st International Workshop on Psychology, Learning, Technology, PLT 2022, Foggia, Italy, during January 2022. The 8 full papers presented here were carefully reviewed and selected from 23 submissions. In addition, one invited paper is also included. Psychology, Learning, ad Technology Conference (PLT2022) aims to explore learning paths that incorporate digital technologies in innovative and transformative ways and the improvement of the psychological and relational life. The conference includes topics about the methodology of application of the ICT tools in psychology and education: from blended learning to the application of artificial intelligence in education; from the teaching, learning, and assessment strategies and practices to the new frontiers on Human-Computer Interaction.

Author: Ebad Banissi
Publisher:
ISBN: 9781467389426
Category : Computer graphics
Languages : en
Pages :

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