Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery
Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery
English | 2022 | ISBN: 3030931188 | 671 Pages | PDF True | 25 MB
English | 2022 | ISBN: 3030931188 | 671 Pages | PDF True | 25 MB
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.