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Название: Data Visualization and Knowledge Engineering: Spotting Data Points with Artificial Intelligence
Автор: Editors Jude Hemanth, Madhulika Bhatia, Oana Geman
Издательство: Springer
Год: 2020
Формат: PDF
Страниц: 321
Размер: 14,88 МБ
Язык: English
This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Data visualization and engineering has been instrumental in the development of many data-driven products and processes. As such the book promotes basic research on data visualization and knowledge engineering toward data engineering and knowledge.
Visual data exploration focuses on perception of information and manipulation of data to enable even non-expert users to extract knowledge. A number of visualization techniques are used in a variety of systems that provide users with innovative ways to interact with data and reveal patterns. A variety of scalable data visualization techniques are required to deal with constantly increasing volume of data in different formats.