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Frame Theory in Data Science

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-031-49483-3 / 978-3031494833 / 9783031494833

Verlag: Springer International Publishing

Erscheinungsdatum: 10.04.2024

Seiten: 255

Autor(en): Zhihua Zhang, Palle E. T. Jorgensen

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