03303nam a22005775i 4500 978-3-031-49483-3 DE-He213 20251030111813.0 cr nn 008mamaa 240410s2024 sz | s |||| 0|eng d 9783031494833 978-3-031-49483-3 10.1007/978-3-031-49483-3 doi Q336 UN bicssc COM021000 bisacsh UN thema Zhang, Zhihua. author. aut http://id.loc.gov/vocabulary/relators/aut 41180 Frame Theory in Data Science [electronic resource] / by Zhihua Zhang, Palle E. T. Jorgensen. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. VIII, 255 p. 7 illus., 6 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development, 2522-8722 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. 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. . Artificial intelligence Data processing. Mathematics. 65523 Bioclimatology. 68090 Environment. 65893 Data Science. Mathematics. 65523 Climate Change Ecology. 68092 Environmental Sciences. 61155 Jorgensen, Palle E. T. author. aut http://id.loc.gov/vocabulary/relators/aut 74964 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031494826 Printed edition: 9783031494840 Printed edition: 9783031494857 Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development, 2522-8722 70807 https://doi.org/10.1007/978-3-031-49483-3 ZDB-2-EES ZDB-2-SXEE 59053 59053