{"product_id":"frame-theory-in-data-science-9783031494857","title":"Frame Theory in Data Science","description":"\u003cp\u003e • Author(s): Zhihua Zhang | Palle E. T. Jorgensen\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Databases - General\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":47658123919511,"sku":"9783031494857","price":12759.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783031494857.webp?v=1775817175","url":"https:\/\/atlanticbooks.com\/products\/frame-theory-in-data-science-9783031494857","provider":"Atlantic Books","version":"1.0","type":"link"}