书目名称 | Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery |
编辑 | Boris Kovalerchuk,Kawa Nazemi,Ebad Banissi |
视频video | |
概述 | Presents the current state of the art on combining artificial intelligence and machine learning with visual analytics.Presents research work on computational intelligence, machine learning, visual ana |
丛书名称 | Studies in Computational Intelligence |
图书封面 |  |
描述 | .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 scholarspresented 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 i |
出版日期 | Book 2022 |
关键词 | Computational Intelligence; Artificial Intelligence; Machine Learning; Visual Analytics; Knowledge Disco |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-93119-3 |
isbn_softcover | 978-3-030-93121-6 |
isbn_ebook | 978-3-030-93119-3Series ISSN 1860-949X Series E-ISSN 1860-9503 |
issn_series | 1860-949X |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |