Frame Theory in Data Science
Series: Advances in Science, Technology & Innovation;
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Product details:
- Edition number 2024
- Publisher Springer International Publishing
- Date of Publication 11 April 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031494826
- Binding Hardback
- No. of pages255 pages
- Size 279x210 mm
- Language English
- Illustrations VIII, 255 p. 7 illus., 6 illus. in color. Illustrations, black & white 553
Categories
Long description:
This book establishes brand-new frame theory and technical implementation in data science, with a special focus on spatial-scale feature extraction, network dynamics, object-oriented analysis, data-driven environmental prediction, and climate diagnosis. Given that data science is unanimously recognized as a core driver for achieving Sustainable Development Goals of the United Nations, these frame techniques bring fundamental changes to multi-channel data mining systems and support the development of digital Earth platforms. This book integrates the authors' frame research in the past twenty years and provides cutting-edge techniques and depth for scientists, professionals, and graduate students in data science, applied mathematics, environmental science, and geoscience.
MoreTable of Contents:
Abstract Frame Theory.- Fourier-type Frame Theory.- Bandlimited Framelet Theory.- Compactly Supported Framelet Theory.- Periodic Framelet Theory.- Spheroidal-type Frame Theory.- Big Data.- Climate Diagnosis.- Frame Neural Networks.
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