02914nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050000900153072001500162072002300177072001400200100007600214245009900290250001800389264007500407300006400482336002600546337002600572338003600598347002400634490012100658505024400779520078701023650004601810650001701856650002001873650001701893650001801910650001701928650002801945650002801973700008402001710003402085773002602119776003602145776003602181776003602217830012102253856004602374978-3-031-49483-3DE-He21320251030111813.0cr nn 008mamaa240410s2024    sz |    s    |||| 0|eng d  a97830314948337 a10.1007/978-3-031-49483-32doi 4aQ336 7aUN2bicssc 7aCOM0210002bisacsh 7aUN2thema1 aZhang, Zhihua.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aFrame Theory in Data Scienceh[electronic resource] /cby Zhihua Zhang, Palle E. T. Jorgensen.  a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aVIII, 255 p. 7 illus., 6 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aAdvances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,x2522-87220 aAbstract 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.  aThis 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. . 0aArtificial intelligencexData processing. 0aMathematics. 0aBioclimatology. 0aEnvironment.14aData Science.24aMathematics.24aClimate Change Ecology.24aEnvironmental Sciences.1 aJorgensen, Palle E. T.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303149482608iPrinted edition:z978303149484008iPrinted edition:z9783031494857 0aAdvances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,x2522-872240uhttps://doi.org/10.1007/978-3-031-49483-3