TY  - BOOK
AU  - Zhang,Zhihua
AU  - Jorgensen,Palle E.T.
ED  - SpringerLink (Online service)
TI  - Frame Theory in Data Science
T2  - Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,
SN  - 9783031494833
AV  - Q336 
PY  - 2024///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Artificial intelligence
KW  - Data processing
KW  - Mathematics
KW  - Bioclimatology
KW  - Environment
KW  - Data Science
KW  - Climate Change Ecology
KW  - Environmental Sciences
N1  - 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
N2  - 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.
UR  - https://doi.org/10.1007/978-3-031-49483-3
ER  -